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OpenTrain AIFor AI Companies

Fantasy Sports AI Evaluation Expert

Use deep fantasy sports expertise to evaluate AI-generated projections, draft boards, formulas, and league logic in a remote contractor engagement of up to 10 weeks.

OpenTrain AI

Generative AI & RLHF

100% Remote

Worldwide

Eligibility

Entry

Experience

Sep 2, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain connects specialized expertise with projects that help shape how modern AI systems work, while giving contributors a place to build a lasting professional profile.

Creating an OpenTrain account is free, and candidates can apply in minutes. Your experience in fantasy sports and analytics can support the development of more accurate, reliable AI applications.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts review model outputs, define quality standards, and provide structured feedback so AI systems can produce more useful and dependable results.

This work is remote and often flexible, making it possible to contribute from anywhere with suitable equipment and an internet connection. In this project, your subject-matter judgment will help evaluate sports analytics and fantasy sports logic.

The Role

OpenTrain AI is seeking a Fantasy Sports AI Evaluation Expert to improve large language models through advanced sports analytics and fantasy sports domain logic. You will translate league mechanics into deterministic rules, validate AI outputs, and check that fantasy tools reflect professional sports and fantasy industry practice.

This is a remote contractor engagement of up to 10 weeks, requiring 20 or more hours per week. The work focuses on evaluating sports and fantasy analytics outputs, structured rules, projections, formulas, and league logic.

  • Remote contractor engagement
  • Up to 10 weeks
  • 20+ hours per week
  • English-language work
  • Worldwide opportunity

What You'll Do

You will establish evaluation standards and review structured materials used by AI builders. The work requires careful reasoning, strong knowledge of fantasy sports mechanics, and the ability to provide clear quality judgments.

  • Define parameters for sport, league size, scoring format, roster settings, positional limits, and valuation methods.
  • Validate player projections, roster exports, customized scoring rules, and other context files used by AI builders.
  • Verify scoring formulas, standings and playoff logic, draft value calculations, and validation lists.
  • Design, evaluate, and calibrate fantasy draft boards, scoreboards, and projection models.
  • Review AI-generated outputs and provide quality sign-off against professional standards.
  • Translate complex league rules into deterministic spreadsheet formulas and structured parameters.

Requirements

Applicants should bring substantial practical experience in sports analytics, fantasy sports content or tools development, or league commissioning. A bachelor's degree or equivalent practical experience is preferred.

Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is helpful but not required. Reliable remote equipment and a stable, high-speed internet connection are required.

  • Five or more years of experience in sports analytics, fantasy sports tools development, or league commissioning.
  • Deep knowledge of PPR and standard scoring, draft rankings, player tiers, roster limits, and standings tiebreakers.
  • Ability to convert complex league rules into clear spreadsheet formulas and structured parameters.
  • Judgment for validating AI-generated projections, draft boards, scoreboards, and playoff logic.
  • Strong analytical reasoning, creative problem-solving, and concise professional writing.
  • Reliable equipment for remote work and a stable, high-speed internet connection.

Why This Work Matters

Every major AI system depends on people who prepare examples, review outputs, and define what good performance looks like. By applying professional fantasy sports standards to model evaluation, you will help make AI-powered sports tools more accurate and useful.

OpenTrain supports contributors who want to turn specialized AI training and data-labeling work into a stronger long-term portfolio. Your profile can showcase credible experience and help you discover future projects that match your skills.

How to Apply

Create a free OpenTrain account, present your fantasy sports and analytics experience, and apply through OpenTrain in minutes. Be prepared to demonstrate your understanding of league rules, scoring systems, projections, and structured evaluation.

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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