Brillio-2

Data Acquisition Analyst ( Japanese, French)

Dallas, Texas, United States

Actively hiring, first seen by us 3 days ago

Pay: USD 30–35/hour — pay source
Salary 30 – 35 USD per hour Employment type
Read the full posting
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Apply labels to collected data to train AI models for scam and deepfake detection
Clean, validate and transform data using Python or Node
Extract and integrate data from databases, APIs and web scraping
Communicate findings and recommendations to stakeholders with clear visuals
Support data modeling, machine learning and experimentation with data scientists

From the employer’s posting

Apply labels to collected data for the purpose of training AI models for in field scam/deepfake detections

Perform data cleaning, validation, and transformation with analytical tools and programming languages (Python, Node).

Extract and integrate data from various sources, such as databases, APIs, web scraping, etc.

Communicate findings and recommendations to stakeholders using clear and concise language and visuals.

Collaborate with data scientists and engineers to support data modeling, machine learning, and experimentation.

What you’ll bring

All qualifications

Core experience

Japanese and French language skills (top priorities)
Python or similar programming language
Experience with data manipulation
Attention to detail and skill in organizing data
Statistics and ML skills: hypothesis testing, regression, classification, PySpark, SAS/SPSS, R

Qualification wording

Language Skills; Japanese, French - Top 2 priorities

Experience with Python or similar programming language

experience with data manipulation is a plus

Skills in organizing data and attention to detail.

Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS

Apply at Brillio-2

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 20263 days ago
Recorded sightings: 4
Last seen by us: Nov 6, 2026
Employer says posted: Oct 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Similar jobs usually come down between day 3 and day 43.

At Brillio-2, jobs usually come down by about day 25.

From 361 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.

Brillio-2 is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SAS
Keras
PySpark
PyTorch
TensorFlow

Where the posting names them

Primary Skills - Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Specialization

Language Skills; Japanese, French - Top 2 priorities, German, Spanish (less important). Summary At Brillio, we are looking for the next members of our AI teams. As our AI Training Data Acquisition Analyst, you'll help us collect, process, and analyze data from various sources and work with a team of experienced Data Scientists and Engineers to support data-driven decision-making and product development. Join our team and help us accelerate the bridging of advanced AI technologies and customer expectations. About The Role: • Apply labels to collected data for the purpose of training AI models for in field scam/deepfake detections • Perform data cleaning, validation, and transformation with analytical tools and programming languages (Python, Node). • Extract and integrate data from various sources, such as databases, APIs, web scraping, etc. • Communicate findings and recommendations to stakeholders using clear and concise language and visuals. • Collaborate with data scientists and engineers to support data modeling, machine learning, and experimentation. • Keep up to date with the latest trends and developments in data science and related fields. About You: • An interest in data science and willing to learn and apply new skills and tools. • Skills in organizing data and attention to detail. • Ability to work independently and as part of a team. • Excellent communication and presentation skills. • Experience with Python or similar programming language and experience with data manipulation is a plus. Salary

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Demand for Data Operations roles

New Data Operations postings at the employers we follow are up 227% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Operations, by the work the posting describes.

Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.

Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.

Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.

Job description

View original posting ↗

Consultant

Primary Skills

Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Specialization

Data Science Advanced: Data Scientist

Job requirements

LOCATION - 2 DAYS IN FRISCO, REST REMOTE FOR THE WEEK.

Language Skills; Japanese, French - Top 2 priorities, German, Spanish (less important).

Summary
At Brillio, we are looking for the next members of our AI teams. As our AI Training Data Acquisition Analyst, you'll help us collect, process, and analyze data from various sources and work with a team of experienced Data Scientists and Engineers to support data-driven decision-making and product development.
Join our team and help us accelerate the bridging of advanced AI technologies and customer expectations.
About The Role:
• Apply labels to collected data for the purpose of training AI models for in field scam/deepfake detections
• Perform data cleaning, validation, and transformation with analytical tools and programming languages (Python, Node).
• Extract and integrate data from various sources, such as databases, APIs, web scraping, etc.
• Communicate findings and recommendations to stakeholders using clear and concise language and visuals.
• Collaborate with data scientists and engineers to support data modeling, machine learning, and experimentation.
• Keep up to date with the latest trends and developments in data science and related fields.
About You:
• An interest in data science and willing to learn and apply new skills and tools.
• Skills in organizing data and attention to detail.
• Ability to work independently and as part of a team.
• Excellent communication and presentation skills.
• Experience with Python or similar programming language and experience with data manipulation is a plus.

Salary

30 – 35 USD per hour

Employment type

Contingent Worker

Source details