&lt;p&gt;Do you enjoy Kaggle-style problem solving, iterating on models, testing ideas, and driving performance gains? Now imagine doing that as paid work, where your solutions directly strengthen the world’s most advanced AI systems.&lt;/p&gt;
&lt;p&gt;Large-scale language models are evolving into engines of discovery, education, and engineering. To get there, they need sharper reasoning and better datasets. As a Machine Learning Specialist, you will take on hands-on ML challenges that feel like research competitions, but with direct impact on next-generation AI.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Do&lt;/strong&gt;&lt;strong&gt;&lt;br&gt;&lt;/strong&gt;On a typical day, you will:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Solve applied ML tasks&lt;/strong&gt;: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflows.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Evaluate scientific writing&lt;/strong&gt;: compare research abstracts and introductions using review rubrics (e.g., NeurIPS guidelines) for clarity, correctness, and impact.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Debug advanced model behavior&lt;/strong&gt;: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Design new benchmark tasks&lt;/strong&gt;: identify datasets, analyze state-of-the-art papers, build evaluation scripts, and provide reference implementations.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Improve training datasets&lt;/strong&gt;: deliver structured feedback that makes AI outputs more accurate, reliable, and useful.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What you’ll Bring&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong background in machine learning, NLP, or data science.&lt;/li&gt;
&lt;li&gt;Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP.&lt;/li&gt;
&lt;li&gt;Proficiency in Python, ML frameworks, and cloud-based workflows.&lt;/li&gt;
&lt;li&gt;Master’s or PhD in CS/ML/data science preferred; peer-reviewed research or production ML systems a strong plus.&lt;/li&gt;
&lt;li&gt;Clear communication skills, able to explain reasoning and “show your work.”&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;Why Join&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Turn your ML problem-solving into real-world impact&lt;/strong&gt;: your work trains and strengthens cutting-edge AI.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Be part of novel AI training initiatives&lt;/strong&gt;: evaluating models, shaping datasets, and designing challenges at the research frontier.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Enjoy flexibility&lt;/strong&gt;: remote, contract-based work with autonomy to set your schedule.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Ready to turn your machine learning expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $30-$50 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. &lt;br&gt;&lt;br&gt;Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. &lt;br&gt;&lt;br&gt;&lt;strong&gt;Job title&lt;/strong&gt;: ML Engineer Specialist – AI Trainer&lt;br&gt;&lt;strong&gt;Employment type&lt;/strong&gt;: Contract&lt;br&gt;&lt;strong&gt;Workplace&lt;/strong&gt; type: Remote &lt;br&gt;&lt;strong&gt;Seniority level&lt;/strong&gt;: Mid-Senior Level&lt;/p&gt;

ML Engineer Specialist – AI Trainer Project

&lt;p&gt;&lt;strong&gt;What You’ll Do&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;You’ll design and deliver machine learning solutions that blend cutting-edge research with practical deployment. Working across industries and use cases, you’ll tackle challenging problems in computer vision and build robust models that power client-facing tools and internal platforms.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop End-to-End CV Models: Design, train, and evaluate deep learning models (e.g., YOLO, optical flow, ResNet architectures) tailored to complex visual data pipelines and novel problem domains.&lt;/li&gt;
&lt;li&gt;Collaborate on Real-World Solutions: Partner with software engineers and fellow data scientists to integrate research-driven models into deployable systems that operate in dynamic production environments.&lt;/li&gt;
&lt;li&gt;Client-Focused Problem Solving: Work closely with external stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into impactful results.&lt;/li&gt;
&lt;li&gt;Explore, Iterate, Validate: Lead the exploration and analysis of large datasets using tools like Pandas, NumPy, and Spark to inform model design and evaluate performance under realistic constraints.&lt;/li&gt;
&lt;li&gt;Research-Driven Innovation: Identify when state-of-the-art ideas can be adapted and productionized in service of the problem at hand.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What We Need&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Professional Experience:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;2+ years of hands-on experience building computer vision models using modern deep learning techniques.&lt;/li&gt;
&lt;li&gt;Proven ability to take models from prototype to production in Python-based workflows.&lt;/li&gt;
&lt;li&gt;Experience working in client-facing roles or directly engaging with stakeholders to refine project requirements.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Technical Expertise:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong proficiency in Python and commonly used ML/data libraries (Pandas, NumPy, PyTorch, etc).&lt;/li&gt;
&lt;li&gt;Familiarity with core computer vision tools and model types (YOLO, ResNet, segmentation models, optical flow, etc).&lt;/li&gt;
&lt;li&gt;Experience working with large-scale datasets using distributed tools such as Spark.&lt;/li&gt;
&lt;li&gt;Comfort navigating cloud environments (GCP, AWS, or similar); Databricks experience is a plus.&lt;/li&gt;
&lt;li&gt;Solid grasp of experimental design, model evaluation, and data debugging practices.&lt;/li&gt;
&lt;li&gt;Strong code hygiene: able to write clean, modular, testable code in collaborative environments.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Bonus (Nice to Haves):&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Familiarity with MLOps practices (model tracking, versioning, reproducibility).&lt;/li&gt;
&lt;li&gt;Experience contributing to multi-model systems or pipelines built by larger teams of data scientists and engineers.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;We offer a pay range of $30+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Important:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;All candidates must pass an interview as part of the contracting process.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;

Data Scientist Specialist Project

&lt;p&gt;Are you a bilingual professional fluent in Korean and Japanese eager to shape the future of AI? Large-scale language models are transforming the way we learn, work, and communicate—enabling cross-cultural understanding and more natural multilingual interactions. With high-quality training data, tomorrow’s AI can deliver more accurate, reliable, and culturally aware communication across languages and contexts. That training data begins with you—your expertise will help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for a Korean &amp;lt;&amp;gt; Japanese Bilingual Specialist who can bring linguistic precision, cultural knowledge, and critical thinking to training data. You’ll work with cutting-edge AI tools, evaluate translations and conversations between Korean and Japanese, and provide structured feedback to improve accuracy, fluency, and cultural alignment.&lt;/p&gt;
&lt;p&gt;On a typical day, you will review AI-generated translations, annotate errors, assess responses for naturalness and context, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines. Tasks may include verifying terminology, testing conversational flow, and ensuring accurate rendering of idiomatic expressions and domain-specific language.&lt;/p&gt;
&lt;p&gt;Fluency in both Korean and Japanese is required, with strong reading, writing, and communication skills in each. Experience in translation, interpretation, localization, or linguistics is a strong plus. Attention to detail and the ability to explain linguistic or cultural nuances clearly are essential.&lt;/p&gt;
&lt;p&gt;Ready to channel your bilingual expertise into building the AI tools of tomorrow? Apply today and help train the model that will support multilingual communication for millions worldwide.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and reliable internet connection; company-sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Korean–Japanese Bilingual Specialist – AI Trainer&lt;/p&gt;
&lt;p&gt;Employment type: Contract&lt;/p&gt;
&lt;p&gt;Workplace type: Remote&lt;/p&gt;
&lt;p&gt;Seniority level: Entry&lt;br&gt;&lt;br&gt;&lt;/p&gt;

Korean–Japanese Bilingual Specialist – AI Trainer

&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Target Profile:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;2+ years of experience building and maintaining ML infrastructure or platforms in production environments.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to take ML models from experimentation to deployment using MLOps best practices.&lt;/li&gt;
&lt;li&gt;Experience collaborating with data scientists, ML engineers, and backend teams on cross-functional projects.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Technical Expertise:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Proficiency in Python and core ML tooling (e.g., MLflow, Kubeflow, Airflow, Docker, Git).&lt;/li&gt;
&lt;li&gt;Familiarity with model training frameworks such as PyTorch, ONNX, or scikit-learn.&lt;/li&gt;
&lt;li&gt;Experience with CI/CD pipelines tailored to ML systems (e.g., model validation checks, artifact versioning).&lt;/li&gt;
&lt;li&gt;Comfortable managing infrastructure via cloud services (GCP, AWS) and container orchestration platforms (e.g., Kubernetes).&lt;/li&gt;
&lt;li&gt;Strong debugging and performance tuning skills across data, model, and infrastructure layers.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus (Nice to Haves):&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;ul&gt;
&lt;li&gt;Hands-on experience with Databricks or similar distributed compute environments.&lt;/li&gt;
&lt;li&gt;Familiarity with data engineering tools and workflow orchestration (Spark, dbt, Prefect).&lt;/li&gt;
&lt;li&gt;Knowledge of monitoring and observability stacks (Prometheus, Grafana, OpenTelemetry) for ML systems.&lt;/li&gt;
&lt;li&gt;Exposure to regulatory/compliance-aware ML deployment (audit logs, reproducibility, rollback strategies).&lt;/li&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Project Overview &amp;amp; Deliverables:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Project Overview&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You’ll design and implement robust infrastructure to enable scalable, reliable, and reproducible machine learning workflows. You’ll streamline the lifecycle of ML models, from experimentation to deployment, ensuring our systems are production-grade and future-proof.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Deliverables:&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build Scalable ML Infrastructure: Architect, deploy, and maintain pipelines and tooling that support versioning, training, testing, and deployment of machine learning models across a variety of environments.&lt;/li&gt;
&lt;li&gt;Bridge Research and Production: Work closely with ML researchers, data scientists, and backend engineers into efficient, production-ready services and APIs.&lt;/li&gt;
&lt;li&gt;Focus on Automation and Reliability: Implement systems for continuous integration, model monitoring, auto-scaling, and failover, with a strong emphasis on observability and operational excellence.&lt;/li&gt;
&lt;li&gt;Optimize Cloud Resources: Optimize compute resources across cloud and hybrid environments (e.g., GCP, AWS, on-prem), reducing latency and cost while maintaining high reliability.&lt;/li&gt;
&lt;li&gt;Document Best Practices: Document best practices in MLOps methodologies such as model versioning, reproducibility, metadata tracking, and experiment lineage..&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Important:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;All candidates must pass an interview as part of the contracting process.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $30+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;We are looking for independent consultants &amp;amp; contractors who run/operate their own business&lt;/p&gt;

ML Ops Engineer Specialist

&lt;p&gt;Are you an Arabic (Levantine) language specialist eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful tools for communication, education, and cultural understanding. With high-quality training data, tomorrow’s AI can accurately capture Levantine Arabic vocabulary, dialects, grammar, idiomatic expressions, and cultural context—helping preserve linguistic heritage and support authentic interactions. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for Arabic (Levantine) language specialists who live and breathe phonetics, morphology, syntax, regional dialects, colloquial expressions, and cultural references. You’ll challenge advanced language models on topics like contextual interpretation, dialectical distinctions, semantic accuracy, and cultural nuance—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model in Levantine Arabic across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A degree in Linguistics, Middle Eastern Studies, Translation, or a related field is ideal; professional experience in teaching, translation, language documentation, or community work signals fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your Arabic (Levantine) expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Arabic (Levantine) Language Specialist - AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid-Senior Level&lt;/p&gt;

Arabic (Levantine) Language Specialist - AI Trainer

&lt;p&gt;Are you a medical professional fluent in Arabic and eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high-quality training data, tomorrow’s AI can democratize world-class education, keep pace with cutting-edge research, and streamline clinical work for healthcare professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for Arabic-fluent professionals with a strong medical background—whether you’ve worked in clinical care, medical research, public health, biomedical education, or related fields. You should be comfortable engaging with topics across medicine, including internal medicine, pharmacology, pathology, clinical diagnostics, medical ethics, human physiology, epidemiology, immunology, and evidence-based medicine. You’ll challenge advanced language models on subjects like differential diagnosis, drug interactions, treatment protocols, pathophysiological mechanisms, clinical trial design, public health interventions, and diagnostic imaging interpretation—documenting every failure mode so we can strengthen model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model on clinical scenarios and theoretical medical questions in both Arabic and English, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A background in medicine, healthcare, or biomedical sciences is required. This could include clinical experience, academic or research work, health communications, medical translation, or public health engagement. Clear, metacognitive communication—explicitly articulating reasoning and decision processes (“showing your work”)—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your Arabic medical expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Medical Specialist (Fluent in Arabic) – AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Open&lt;/p&gt;

Medical Specialist (Fluent in Arabic) – AI Trainer

&lt;p&gt;Are you a bilingual professional fluent in Japanese and Korean eager to shape the future of AI? Large-scale language models are transforming the way we learn, work, and communicate—enabling cross-cultural understanding and more natural multilingual interactions. With high-quality training data, tomorrow’s AI can deliver more accurate, reliable, and culturally aware communication across languages and contexts. That training data begins with you—your expertise will help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for a Japanese–Korean Bilingual Specialist who can bring linguistic precision, cultural knowledge, and critical thinking to training data. You’ll work with cutting-edge AI tools, evaluate translations and conversations between Japanese and Korean, and provide structured feedback to improve accuracy, fluency, and cultural alignment.&lt;/p&gt;
&lt;p&gt;On a typical day, you will review AI-generated translations, annotate errors, assess responses for naturalness and context, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines. Tasks may include verifying terminology, testing conversational flow, and ensuring accurate rendering of idiomatic expressions and domain-specific language.&lt;/p&gt;
&lt;p&gt;Fluency in both Japanese and Korean is required, with strong reading, writing, and communication skills in each. Experience in translation, interpretation, localization, or linguistics is a strong plus. Attention to detail and the ability to explain linguistic or cultural nuances clearly are essential.&lt;/p&gt;
&lt;p&gt;Ready to channel your bilingual expertise into building the AI tools of tomorrow? Apply today and help train the model that will support multilingual communication for millions worldwide.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and reliable internet connection; company-sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Japanese–Korean Bilingual Specialist – AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Entry&lt;/p&gt;

Japanese–Korean Bilingual Specialist – AI Trainer

&lt;h2&gt;Purpose&lt;/h2&gt;
&lt;p&gt;We are seeking a highly experienced Coding / Machine Learning professional to serve as a consultant on AI training data projects for leading AI model builders and enterprises. Your focus will be to define success criteria, review outputs, and provide targeted guidance to improve quality and speed — directly contributing to the successful delivery of domain-specific annotated datasets that meet the highest technical standards. You will be engaged on specific projects with clearly defined deliverables, milestones, and end dates.&lt;/p&gt;
&lt;h2&gt;Components&lt;/h2&gt;
&lt;h3&gt;Technical Standard Setting, Quality Control, and Process Improvement&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Define domain-specific quality success metrics.&lt;/li&gt;
&lt;li&gt;Develop project-specific SOPs, QA rubrics, and reference materials for the specific purpose of meeting client technical standards.&lt;/li&gt;
&lt;li&gt;Review project outputs (code annotations, model configurations) against technical standards, flagging and correcting defects before client delivery.&lt;/li&gt;
&lt;li&gt;Perform structured QA passes on daily/weekly deliverables; flag, track, and resolve defects quickly to hit delivery deadlines.&lt;/li&gt;
&lt;li&gt;Return work to contractors with precise remediation notes.&lt;/li&gt;
&lt;li&gt;Provide advisory input on tools, frameworks, workflows, and processes to meet quality benchmarks.&lt;/li&gt;
&lt;li&gt;Handle spec changes and edge-case scenarios e.g., evaluation of new model architectures, data formats, or API changes drafting acceptance criteria or technical workarounds.&lt;/li&gt;
&lt;li&gt;Curate example libraries of “gold standard” scripts, models, and dataset annotations for calibration and comparability to reference samples.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Talent Vetting &amp;amp; Output Improvement&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Participate in vetting and assessing technical contractor talent for specific projects, including code review tests and ML task evaluations.&lt;/li&gt;
&lt;li&gt;Review sample work from contractors and provide precise, actionable written feedback to improve outputs.&lt;/li&gt;
&lt;li&gt;Create targeted training or calibration resources — e.g., best practices for clean, maintainable code, hyperparameter tuning guidelines, dataset preparation standards.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Project Delivery Support&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Advise on technical scoping and requirements during project setup, including choice of programming languages, ML frameworks, and data preprocessing pipelines.&lt;/li&gt;
&lt;li&gt;Provide expert guidance for edge cases, technical exceptions, and specification changes during the project lifecycle.&lt;/li&gt;
&lt;li&gt;Contribute to post-project reviews to capture lessons learned and improve future standards.&lt;/li&gt;
&lt;li&gt;Identify and summarize client model observations and insights (e.g., model accuracy drift, overfitting patterns, data leakage issues).&lt;/li&gt;
&lt;li&gt;Build dashboards or trackers with defect categories and recurrence to surface production insights that improve project outcomes.&lt;/li&gt;
&lt;li&gt;Conduct post-mortems, analyze defect trends, and propose process tweaks or training refreshers.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;Target Profile&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Deep technical expertise and 5+ years professional experience in software engineering, machine learning, or data science, with demonstrable industry impact.&lt;/li&gt;
&lt;li&gt;Mastery of one or more programming languages (e.g., Python, C++, Java) and experience with leading ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).&lt;/li&gt;
&lt;li&gt;Proven ability to set, enforce, and maintain high technical standards in software development and ML workflows.&lt;/li&gt;
&lt;li&gt;Strong communication skills for delivering clear technical guidance to both engineers and non-technical stakeholders.&lt;/li&gt;
&lt;li&gt;Experience producing technical documentation, quality rubrics, or training resources.&lt;/li&gt;
&lt;li&gt;Ability to work within fixed project timelines and scope.&lt;/li&gt;
&lt;li&gt;Strong attention to detail, documentation discipline, and commitment to accuracy and consistency.&lt;/li&gt;
&lt;li&gt;Fluency in spoken and written English, with clear and concise writing skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Example Data Annotation Potential Scope&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;&lt;strong&gt;Field of Study&lt;/strong&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;&lt;strong&gt;Agent Task Specialty&lt;/strong&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Machine Learning&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Model training/explanation, bias detection, evaluation metric analysis&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Deep Learning&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Neural net architecture design, backpropagation walkthroughs&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Natural Language Processing (NLP)&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Text classification, summarization, sentiment analysis&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Computer Vision&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Image labeling, object detection, image captioning&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;MLOps / Deployment&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Model lifecycle support, pipeline design, monitoring/rollback flows&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Statistical Modeling&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Hypothesis testing, regression diagnostics, p-value calculation&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Data Engineering&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Data pipeline logic, cleaning steps, schema validation&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Feature Engineering&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Variable selection, encoding/normalization strategies&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Time Series Analysis&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Forecast modeling, anomaly detection&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Recommender Systems&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;User/item embedding design, collaborative filtering support&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Explainable AI (XAI)&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;SHAP/LIME interpretation, fairness flagging&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Data Storytelling&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;Generating readable summaries from charts or model outputs&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p&gt;Tools&lt;/p&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;p&gt;TensorFlow / PyTorch / JAX / HuggingFace&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;We offer a pay range of $25-to- $100 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Machine Learning &amp;amp; Coding Expert (SME)&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Senior Level&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;

Machine Learning & Coding Expert (SME)

&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Target Profile:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;2+ years of experience building and maintaining ML infrastructure or platforms in production environments.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to take ML models from experimentation to deployment using MLOps best practices.&lt;/li&gt;
&lt;li&gt;Experience collaborating with data scientists, ML engineers, and backend teams on cross-functional projects.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Technical Expertise:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Proficiency in Python and core ML tooling (e.g., MLflow, Kubeflow, Airflow, Docker, Git).&lt;/li&gt;
&lt;li&gt;Familiarity with model training frameworks such as PyTorch, ONNX, or scikit-learn.&lt;/li&gt;
&lt;li&gt;Experience with CI/CD pipelines tailored to ML systems (e.g., model validation checks, artifact versioning).&lt;/li&gt;
&lt;li&gt;Comfortable managing infrastructure via cloud services (GCP, AWS) and container orchestration platforms (e.g., Kubernetes).&lt;/li&gt;
&lt;li&gt;Strong debugging and performance tuning skills across data, model, and infrastructure layers.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Bonus (Nice to Haves):&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;ul&gt;
&lt;li&gt;Hands-on experience with Databricks or similar distributed compute environments.&lt;/li&gt;
&lt;li&gt;Familiarity with data engineering tools and workflow orchestration (Spark, dbt, Prefect).&lt;/li&gt;
&lt;li&gt;Knowledge of monitoring and observability stacks (Prometheus, Grafana, OpenTelemetry) for ML systems.&lt;/li&gt;
&lt;li&gt;Exposure to regulatory/compliance-aware ML deployment (audit logs, reproducibility, rollback strategies).&lt;/li&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Project Overview &amp;amp; Deliverables:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Project Overview&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You’ll design and implement robust infrastructure to enable scalable, reliable, and reproducible machine learning workflows. You’ll streamline the lifecycle of ML models, from experimentation to deployment, ensuring our systems are production-grade and future-proof.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Deliverables:&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build Scalable ML Infrastructure: Architect, deploy, and maintain pipelines and tooling that support versioning, training, testing, and deployment of machine learning models across a variety of environments.&lt;/li&gt;
&lt;li&gt;Bridge Research and Production: Work closely with ML researchers, data scientists, and backend engineers into efficient, production-ready services and APIs.&lt;/li&gt;
&lt;li&gt;Focus on Automation and Reliability: Implement systems for continuous integration, model monitoring, auto-scaling, and failover, with a strong emphasis on observability and operational excellence.&lt;/li&gt;
&lt;li&gt;Optimize Cloud Resources: Optimize compute resources across cloud and hybrid environments (e.g., GCP, AWS, on-prem), reducing latency and cost while maintaining high reliability.&lt;/li&gt;
&lt;li&gt;Document Best Practices: Document best practices in MLOps methodologies such as model versioning, reproducibility, metadata tracking, and experiment lineage..&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Important:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;All candidates must pass an interview as part of the contracting process.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $30+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;We are looking for independent consultants &amp;amp; contractors who run/operate their own business&lt;/p&gt;

&lt;p&gt;Are you a Spanish (Colombia) language specialist eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful tools for communication, education, and cultural preservation. With high-quality training data, tomorrow’s AI can better understand regional language nuances, context, and tone—empowering global accessibility and fostering cross-cultural exchange. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for Spanish (Colombia) language specialists who live and breathe grammar, orthography, vocabulary, idiomatic expressions, and cultural references unique to Colombia. You’ll challenge advanced language models on topics like regional colloquialisms, contextual interpretation, tone adaptation, syntactic accuracy, and semantic precision—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model in Spanish (Colombia) across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A degree in Linguistics, Translation, Spanish Language, Literature, or a related field is ideal; professional experience in teaching, translation, localization, or editorial work signals fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your Spanish (Colombia) expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Spanish (Colombia) Language Specialist - AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid-Senior Level&lt;/p&gt;

Spanish (Colombia) Language Specialist - AI Trainer

&lt;p&gt;Are you an Arabic (Yemeni) language expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful tools for communication, education, and cultural understanding. With high-quality training data, tomorrow’s AI can accurately capture Yemeni Arabic vocabulary, dialects, grammar, idiomatic expressions, and cultural context—helping preserve linguistic heritage and support authentic interactions. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for Yemeni Arabic language specialists who live and breathe phonetics, morphology, syntax, regional dialects, colloquial expressions, and cultural references. You’ll challenge advanced language models on topics like contextual interpretation, dialectical distinctions, semantic accuracy, and cultural nuance—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model in Yemeni Arabic across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A Master&#39;s degree in Linguistics, Arabic Studies, Translation, or a related field is ideal; professional experience in teaching, translation, language documentation, or community work signals fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your Yemeni Arabic expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Arabic (Yemeni) Language Expert – AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid-Senior Level&lt;/p&gt;

Arabic (Yemeni) Language Expert - AI Trainer

&lt;p&gt;Are you a data science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Data Science Specialist – AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid‑Senior Level&lt;/p&gt;

Data Science Specialist – AI Trainer

&lt;p&gt;Are you a microbiology expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for microbiology specialists who live and breathe bacteriology, virology, parasitology, mycology, microbial genetics, antibiotic resistance, microbial pathogenesis, environmental microbiology, industrial microbiology, and microbial ecology. You’ll challenge advanced language models on topics like host-pathogen interactions, culture techniques, microbial metabolism, clinical microbiology diagnostics, PCR and qPCR methodologies, sterile technique protocols, biosafety procedures, and the role of microbiomes in health and disease—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model on lab scenarios and theoretical microbiology questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A PhD in microbiology or a closely related life‑science field is ideal; peer‑reviewed publications, wet‑lab or field research, or hands‑on laboratory diagnostics projects signal fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your microbiology expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Microbiology Specialist – AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid‑Senior Level&lt;/p&gt;

Microbiology Specialist – AI Trainer

&lt;p&gt;Are you a coding expert fluent in HTML eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline software development for engineers everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for HTML coding specialists who live and breathe algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming—and who can do so fluently using HTML. You’ll challenge advanced language models on topics like asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model on software engineering tasks and technical scenarios using HTML, verify logical accuracy and coding fluency, assess code quality and clarity, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field is ideal; real-world HTML experience, technical writing, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your HTML coding expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8‑to‑$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: HTML Coding Specialist - AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid‑Senior Level&lt;/p&gt;

HTML Coding Specialist - AI Trainer

&lt;p&gt;Are you a Punjabi (Shahmukhi) language expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline communication and translation for speakers of Punjabi everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for Punjabi language specialists who live and breathe the complexities of Punjabi grammar, syntax, morphology, semantics, phonetics, and pragmatics. You’ll challenge advanced language models on topics like dialectal variation, formal versus colloquial language, Punjabi script, translation accuracy, semantic ambiguity, and cultural context—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A master’s or PhD in Punjabi language, linguistics, or a closely related field is ideal; peer‑reviewed publications, translation experience, or hands-on linguistic analysis projects signal fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your Punjabi language expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Punjabi (Shahmukhi) Language Specialist - AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid‑Senior Level&lt;/p&gt;

Punjabi (Shahmukhi) Language Specialist - AI Trainer

&lt;h2&gt;&lt;strong&gt;Data Scientist Specialist&lt;/strong&gt;&lt;/h2&gt;
&lt;h3&gt;&lt;strong&gt;What You’ll Do&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;You’ll design and implement data science and machine learning solutions that blend cutting-edge research with practical deployment. Working across industries, domains, and use cases, you’ll tackle challenging analytical problems, build robust models, and deliver insights that power client-facing tools and internal platforms.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop End-to-End Models: Design, train, and evaluate models for prediction, classification, optimization, or inference—taking projects from exploratory analysis through production deployment.&lt;/li&gt;
&lt;li&gt;Collaborate on Real-World Solutions: Partner with software engineers, analysts, and fellow data scientists to integrate data-driven models into scalable, deployable systems that operate in dynamic production environments.&lt;/li&gt;
&lt;li&gt;Client-Focused Problem Solving: Work closely with stakeholders to frame ambiguous problems, explore solution paths, and translate complex technical insights into clear, actionable recommendations.&lt;/li&gt;
&lt;li&gt;Explore, Iterate, Validate: Lead the exploration and analysis of large and diverse datasets using tools like Pandas, NumPy, and Spark to inform model design, evaluate performance, and identify opportunities for improvement.&lt;/li&gt;
&lt;li&gt;Research-Driven Innovation: Stay current with advances in statistics, machine learning, and data engineering practices—adapting new methods and technologies to deliver measurable impact on real-world problems.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;What We Need&lt;/strong&gt;&lt;/h3&gt;
&lt;h4&gt;&lt;strong&gt;Professional Experience&lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;2+ years of hands-on experience building and deploying data science or machine learning models in production environments.&lt;/li&gt;
&lt;li&gt;Proven ability to take models from prototype to production using Python-based workflows.&lt;/li&gt;
&lt;li&gt;Experience engaging with technical and non-technical stakeholders to refine requirements and communicate results effectively.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Technical Expertise&lt;/strong&gt;&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;Strong proficiency in &lt;strong&gt;Python&lt;/strong&gt; and commonly used ML/data libraries (&lt;strong&gt;Pandas&lt;/strong&gt;, &lt;strong&gt;NumPy&lt;/strong&gt;, &lt;strong&gt;scikit-learn&lt;/strong&gt;, &lt;strong&gt;PyTorch&lt;/strong&gt;, or similar).&lt;/li&gt;
&lt;li&gt;Experience working with &lt;strong&gt;large-scale datasets&lt;/strong&gt; and distributed tools such as &lt;strong&gt;Spark&lt;/strong&gt;.&lt;/li&gt;
&lt;li&gt;Comfort navigating &lt;strong&gt;cloud environments&lt;/strong&gt; (e.g., &lt;strong&gt;GCP&lt;/strong&gt;, &lt;strong&gt;AWS&lt;/strong&gt;, or similar); &lt;strong&gt;Databricks&lt;/strong&gt; experience is a plus.&lt;/li&gt;
&lt;li&gt;Solid understanding of &lt;strong&gt;statistical modeling&lt;/strong&gt;, &lt;strong&gt;experimental design&lt;/strong&gt;, &lt;strong&gt;model evaluation&lt;/strong&gt;, and &lt;strong&gt;data debugging &lt;/strong&gt;practices.&lt;/li&gt;
&lt;li&gt;Strong &lt;strong&gt;code hygiene&lt;/strong&gt; — able to write clean, modular, and testable code in collaborative, version-controlled environments.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;We offer a pay range of $30+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Important:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;All candidates must pass an interview as part of the contracting process.&lt;/p&gt;

Data Scientist Specialist

&lt;p&gt;Are you a master of synthetic biology eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, accelerate bioengineering research, and enable innovative applications in medicine, agriculture, and industry. That training data begins with you—we need your expertise to help power the next generation of AI.&lt;/p&gt;
&lt;p&gt;We’re looking for specialists who live and breathe synthetic biology, genetic circuit design, metabolic engineering, genome editing (CRISPR/Cas systems), systems biology, biomanufacturing, and computational modeling. You’ll challenge advanced language models on topics like gene synthesis, chassis organism optimization, promoter and ribosome binding site tuning, pathway assembly, biosafety and ethical considerations, and emerging technologies—documenting every failure mode so we can harden model reasoning.&lt;/p&gt;
&lt;p&gt;On a typical day, you will converse with the model on lab workflows and theoretical synthetic biology questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.&lt;/p&gt;
&lt;p&gt;A PhD in synthetic biology, molecular biology, bioengineering, or a closely related life‑science field is ideal; peer‑reviewed publications, hands‑on experience with synthetic biology techniques, or work in industrial or academic bioengineering labs signal fit. Clear, metacognitive communication—“showing your work”—is essential.&lt;/p&gt;
&lt;p&gt;Ready to turn your synthetic biology expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.&lt;/p&gt;
&lt;p&gt;We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.&lt;/p&gt;
&lt;p&gt;Job title: Synthetic Biology Specialist – AI Trainer&lt;br&gt;Employment type: Contract&lt;br&gt;Workplace type: Remote&lt;br&gt;Seniority level: Mid‑Senior Level&lt;/p&gt;

Find a Job in Data