Data Scientist Talent Network
United States
- Pay
$100–150/hour — pay source
This role is for one of our clients Compensation: $100-$150 per hour We are building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.
Read the full posting- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Part-time — employment source
Employment type in the employer’s posting: Part-time
From the employer’s posting
What you’ll work on
Full postingDesign task-specific grading criteria for data science deliverables
Evaluate AI-generated or human-created data science work against criteria
Write detailed justifications for evaluations and scores
Apply consistent, evidence-based judgment so assessments are defensible
Revise submitted work using feedback from senior reviewers
From the employer’s posting
Designing precise, task-specific grading criteria for data science deliverables
Evaluating AI-generated or human-created work against established criteria
Providing detailed written justifications for evaluations and scores
Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
Incorporating structured feedback from senior reviewers and iterating on submitted work
What you’ll bring
All qualificationsCore experience
- 1+ years of professional data science experience
- Strong Python, SQL, statistical modeling and machine learning skills
- Experience with experimentation and causal inference
- Exceptional written communication of technical findings
- Detail-oriented approach to evaluating complex work
Preferred experience
- Experience at a leading tech, research, or quant firm (e.g., top FAANG, AI labs)
Qualification wording
1+ years of professional data science experience
Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference
experimentation and causal inference
Exceptional written communication skills, including the ability to convey technical findings clearly
A detail-oriented and consistent approach to evaluating complex work
Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent) - Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses - Exceptional written communication skills, including the ability to convey technical findings clearly
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 26, 2026 · 33 days ago
- Recorded sightings
- 279
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 17, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Job description
This role is for one of our clients
Compensation: $100-$150 per hour
We are building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.
There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.
Requirements
Potential Responsibilities
Future projects may involve:
- Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks
- Evaluating AI-generated or human-created work against established criteria
- Providing detailed written justifications for evaluations and scores
- Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
- Incorporating structured feedback from senior reviewers and iterating on submitted work
Specific responsibilities will vary depending on the project.
Ideal Qualifications
- 1+ years of professional data science experience
- Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)
- Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses
- Exceptional written communication skills, including the ability to convey technical findings clearly
- A detail-oriented and consistent approach to evaluating complex work
- Comfort receiving feedback and calibrating judgment against established standards
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
This role is for one of our clients Compensation: $100-$150 per hour We are building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting