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Role Description

This role involves supporting a leading AI research lab in evaluating agent-generated research reports related to sports analytics.

• Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
• Assess insights derived from player statistics, team metrics, and game analytics
• Verify statistical tables, historical records, and league data using reputable public sources
• Identify inconsistencies in performance analysis, comparative metrics, and trend interpretations
• Work independently to complete evaluations within deadlines
• Maintain consistency and precision across all assigned tasks

Qualifications

• 2–3 years of professional experience in sports analytics, performance analysis, sports data research, or related roles
• Experience working with player statistics, advanced metrics, and performance indicators
• Familiarity with team performance data, win-loss trends, and efficiency metrics
• Experience analysing league standings, rankings, and seasonal comparisons
• Hands-on exposure to historical sports records and longitudinal performance data
• Experience interpreting game analytics such as play-by-play data, predictive models, or advanced statistical metrics
• Experience sourcing and validating sports datasets, statistical tables, and historical records from credible public sources
• Strong analytical skills and attention to detail
• Excellent written communication skills
• Ability to work independently in asynchronous environments

Requirements

• Bachelors or Masters degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field

Benefits

• Independent contractor role
• Fully remote with flexible scheduling
• Part-time commitment (approximately 20–40 hours per week)
• Competitive rates between $40–$60/hour depending on expertise
• Weekly payments via Stripe or Wise
• Projects may extend or adjust depending on scope and performance
• No access to confidential or proprietary information