AI trainer Data Science

Brunel; United States; Remote; GBP 42,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Brunel partners with DataAnnotation to connect experienced Data Scientists with an AI training program. Practicing data scientists will evaluate and improve how AI models handle real data science work, covering analytics, ML, statistics, NLP, and CV applications.

The program is fully remote, project-based with flexible scheduling. Minimum 10 hours per week; full-time hours also available for selected experts. Pay rate ranges from $40 to $125 USD per hour via PayPal.

Qualifications

• 2+ years of professional applied data science experience.
• Ability to own a multi-step analysis from raw data to decision.
• Comfort with AI tools and quick adoption of new tech.
• English fluency at native or bilingual level.

Responsibilities

• Design realistic data science tasks from your practice.
• Run tasks through frontier AI models and judge outputs.
• Compare model outputs and document performance gaps.
• Write grading rubrics and tests for deliverables.
• Flag failures with concrete evidence and rationale.
• Contribute across analytics, ML, experimentation, and data engineering.

Skills

English fluency

Data science experience

End-to-end analysis

Communication of results

AI tooling familiarity

Education

Bachelor's in quantitative field

Tools

Python

SQL

Job description

Brunel is partnering with DataAnnotation to connect experienced Data Scientists with an innovative AI training program. This opportunity brings together hands‑on data science expertise and artificial intelligence to help evaluate and improve how AI models handle real data science work. Selected experts will contribute their knowledge to the development of high‑quality, technically accurate AI systems.

This opportunity is designed for practicing data scientists who take analyses from messy data to a defensible conclusion. It covers product and business analytics, applied machine learning, statistics and experimentation, forecasting, analytics engineering, and applied NLP or computer vision.

Fully remote, project‑based work with a flexible schedule. The minimum is 10 hours per week with no weekly maximum, and full‑time hours are available.

Pay rate

$40–$125 USD/hour, paid via PayPal

Location

United States, Canada, United Kingdom, Ireland, and Australia/New Zealand

First step

Skills assessment (2–4 hours)

Responsibilities:

• Design challenging, realistic data science tasks from your own practice: an exploratory analysis of a messy dataset, an A/B test design and readout, or a model with proper validation
• Run those tasks through frontier AI models and judge the output against your professional standard
• Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short
• Write detailed grading rubrics and tests that define what a correct deliverable must contain, and explain why a response passes or fails
• Flag concrete failures with evidence: leakage, confounding, wrong joins, misapplied tests, code that runs but doesn't do what was asked, fabricated or ignored data, and off‑brief interpretation
• Contribute across analytics, machine learning, experimentation, and data engineering, and review and refine tasks built by other experts

Qualifications:

• Fluency in English (native or bilingual level)
• 2+ years of professional applied data science experience, in industry or research
• Working proficiency in Python and/or SQL, with the ability to write, debug, and explain your own analysis code
• Experience owning a multi‑step analysis end to end, from raw data through modeling and interpretation to a decision
• The ability to judge whether a result is real, and to explain why an answer is wrong, not only that it is
• Working comfort with AI tools, or the ability to pick them up quickly
• A current, in‑progress, or completed Bachelor's in a quantitative field is preferred

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.