NBA Expert - Metadata Specialist
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 Metadata Auditor
Type: Contract
Compensation: $25–$35/hour
Duration: Project-based
Commitment: Flexible hours
Role Responsibilities
- Review pre-labeled NBA game footage for accuracy and completeness .
- Audit sport-specific metadata tags such as play types, offensive sets, defensive schemes, player roles, fouls, game situations, shot clock context, and possession details .
- Ensure metadata aligns precisely with the unique prompts/cues associated with each video.
- Identify labeling inconsistencies, missing tags, or incorrect classifications.
- Refine and correct metadata to ensure high domain accuracy .
- Provide structured feedback on systematic labeling errors or edge cases .
- Maintain consistency in tagging logic across all videos .
Qualifications
Must-Have
- Deep knowledge of NBA rules, gameplay mechanics, and terminology .
- Strong understanding of offensive systems (e.g., pick-and-roll, isolation, motion offense, horns sets, etc.).
- Strong understanding of defensive schemes (e.g., man-to-man, zone, switch-heavy defenses, drop coverage, traps, etc.).
- Strong understanding of game situations (e.g., clutch time, late-game execution, out-of-bounds plays, transition vs half-court, etc.).
- Strong understanding of foul identification and officiating mechanics .
- Prior experience in coaching, competitive playing, basketball analytics, film breakdown, scouting, or broadcast analysis.
- Exceptional attention to detail.
- Ability to follow structured annotation guidelines .
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: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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