Sports And Fantasy Sports AI Evaluation SME

You will evaluate AI-generated sports and fantasy-sports content and tools. Your reviews will help set quality standards for league mechanics, scoring systems, draft values, standings, playoff projections, and related outputs.

• Define sport, league size, scoring format, roster settings, positional limits, and player valuation parameters.
• Review player projections, roster exports, and customized scoring rules for accuracy and completeness.
• Check scoring formulas, standings, playoff logic, draft-value calculations, and validation lists.
• Review and approve AI-generated outputs, identify errors, and compare results with real-world sports and fantasy standards.
• Turn complex league rules into clear spreadsheet formulas and structured parameters.

What It Takes

This role requires substantial hands-on knowledge of sports analytics, fantasy-sports tools or content, or league commissioning. Experience evaluating AI or labeled data is helpful but not required.

• Five or more years of experience in sports analytics, fantasy-sports content or tools development, or league commissioning.
• Professional fluency in English.
• Deep knowledge of PPR and standard scoring, draft rankings, player tiers, roster limits, and standings tiebreakers.
• Strong concise professional writing and the ability to explain domain rules through spreadsheet formulas.
• Analytical and creative problem-solving skills for reviewing draft boards, scoreboards, and projection models.
• Bachelor's degree or equivalent practical experience.
• Personal computer and stable high-speed internet connection.
• Open worldwide, with eight hours of required overlap with Pacific Time.
• 20 or more hours per week, with weekend on-call availability. Part-time engagement may be acceptable.
• Contractor engagement expected to last up to two weeks.

How It Works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI Training Work

OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply in minutes. AI training is the human work behind modern AI, including reviewing model outputs and checking them against expert standards.