Mercor

Basketball Game Analyst

Stellenbeschreibung:

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Basketball Expert
Type: Contract
Compensation: $45–$70/hour
Location: Remote

Role Responsibilities

  • Evaluate basketball games and review AI-generated play-by-play commentary and post-game analysis.
  • Score the accuracy, insight, and entertainment value of AI sports coverage .
  • Assess the AI's understanding of player performance, game flow, and strategic decisions.
  • Detect factual mistakes, poor interpretations, or stylistic inconsistencies in AI outputs .
  • Provide clear written feedback on strengths, weaknesses, and improvement opportunities.
  • Collaborate with analysts and developers to enhance the AI's basketball-specific reasoning and realism.

Qualifications

Must-Have

  • Basketball Expertise : Deep understanding of the game through playing, coaching, commentating, or passionate fandom.
  • Analytical Thinking : Ability to evaluate basketball strategies, narratives, and statistical insights.
  • Communication Skills : Strong written English and ability to clearly articulate nuanced basketball insights.
  • Tech Readiness : Comfortable using online evaluation tools and dashboards.

Start Date

  • Today from 5 pm PT - 8 pm PT

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Stelleninformationen

  • Veröffentlichungsdatum:

    24 Mär 2026
  • Standort:

    WorkFromHome

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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