Remote AI Trainer, Data Science Expert

Job Title: Remote AI Trainer, Data Science

Job ID: 1067413

Date Posted: November 5, 2026

Employment Type: Contract, Part-Time or Full-Time

Hiring Company (Organization): Confidential

Location: Remote
Applicants must be located in the United States, Canada, or the United Kingdom

Base Salary:  $40–$125 per hour (USD)
Commensurate with experience and qualifications.

Job Description: 

Our client is seeking experienced data scientists to evaluate how advanced AI models perform real-world data science work, from messy-data analysis and experiment design to model validation and SQL/Python development. You’ll use your professional judgment to design realistic tasks and grade AI output against the standard you’d hold a colleague to. This is fully remote, self-directed work where clear written reasoning matters as much as technical depth.

Key Responsibilities

• Design realistic data science tasks drawn from your own experience (e.g., exploratory analyses, A/B test readouts, model validation, SQL pipelines, forecasts), including prompts and supporting files such as datasets, schemas, notebooks, and stakeholder briefs.
• Run tasks through frontier AI models and evaluate the resulting analyses, code, models, and write-ups against a professional standard.
• Compare paired model outputs, determine which performed better, and document shortcomings.
• Write detailed grading rubrics and tests defining what a correct deliverable must include, with written pass/fail justifications.
• Flag concrete failures with evidence, such as data leakage, confounding, incorrect joins, misapplied tests, or off-brief interpretations.
• Review and refine tasks built by other experts.

Required Experience and Qualifications

• 2+ years of applied data science experience preferred (analytics, ML, statistical modeling, experimentation, or analysis-adjacent data engineering); undergraduate study does not count. Strong practical work may offset less experience.
• Current or recent hands-on, individual-contributor experience.
• Bachelor’s degree in a quantitative field, completed or in progress; advanced degree a plus but not required.
• Working proficiency in Python and/or SQL.
• Depth in at least one area: business analytics/BI, applied ML, statistics and experimentation, forecasting, data engineering, or applied NLP/computer vision.
• Experience owning a multi-step analysis end to end, from raw data to a decision.
• Ability to assess whether results are valid (leakage, confounding, selection effects, multiple testing, power) and interpret them in business or scientific terms.
• Familiarity with AI/LLM tools and the judgment to spot plausible but incorrect answers.
• Full professional or native-level English with strong written communication.
• Strong attention to detail, comfort with ambiguity, and ability to work independently from written instructions.

Benefits

• Competitive pay: 40–125/hour, paid via PayPal on a regular schedule
• Fully remote with flexible scheduling and multi-day task timers
• Scalable hours: 10-hour weekly minimum, full-time hours available
• Tools provided: Access to leading AI platforms at no cost
• Paid at every completed stage, including training and task proposals
• Support and growth: Onboarding materials, dedicated Slack channel, office hours, expert feedback, and opportunities to advance into reviewer roles

Application Process

1. Apply to this job
2. We’ll review your resume
3. If your experience is a good fit for the work, we’ll send you a link to an assessment (unpaid; about 2–4 hours). All work must be your own; AI-assisted submissions are rejected.
4. If you pass, complete onboarding and a short paid training project.
5. Propose a task from your experience and receive expert feedback.
6. Once accepted, build the full task and test it against frontier models. 
7. Each stage must be accepted before moving forward, and revisions are a normal part of the process.