Sports And Fantasy Sports AI Evaluation Specialist

You will help evaluate AI applications that work with sports analytics and fantasy-sports logic. Your reviews will set quality standards and check whether generated results follow professional sports and fantasy-industry practices.

• Define sport, league size, scoring format, roster settings, positional limits, and valuation parameters.
• Validate player projections, roster exports, and customized scoring rules.
• Check scoring formulas, standings, playoff logic, draft values, and validation lists for draft boards and scoreboards.
• Review and approve AI-generated outputs, identify errors, and calibrate results against real-world standards.
• Convert complex league rules into clear spreadsheet formulas and structured parameters.

What it pays and takes

The engagement is a contractor role expected to last up to two weeks. The work requires strong sports and fantasy-sports knowledge, careful analysis, and clear professional writing.

• Pay: The listing does not provide a rate.
• Time: 40 hours per week, including eight hours of overlap with Pacific Time; part-time engagement may be acceptable.
• Availability: Weekend on-call availability is required.
• Experience: Five or more years in sports analytics, fantasy-sports content or tools development, or league commissioning.
• Knowledge: Hands-on understanding of PPR and standard scoring, draft rankings, player tiers, roster limits, and standings tiebreakers.
• Skills: Explain domain rules clearly in spreadsheet formulas and solve problems involving draft boards, scoreboards, and projection models.
• Education: A bachelor's degree or equivalent practical experience.
• Equipment: A personal computer and stable high-speed internet connection.
• Helpful background: AI evaluation, data annotation, content review, quality assurance, or another analytical role can help but is not required.

How it works

You apply on OpenTrain with your resume and then complete the application on the hiring site. OpenTrain is free to join and helps people find AI training and data-labeling roles in one place.

About AI training work

AI training is the human work behind artificial intelligence, including reviewing model outputs and checking them against clear standards. People with specialized knowledge are needed because their judgment helps models produce more accurate and useful results.