We are sharing a specialised remote opportunity for professionals with experience in sports analytics, performance analysis, and sports data research to support a leading AI research lab in evaluating agent-generated research reports.
This project focuses on assessing research outputs related to player statistics, team performance metrics, league standings, historical records, and game analytics to ensure accuracy, clarity, and data integrity in AI-generated sports analysis.
Key Responsibilities
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
Ideal Profile
Strong candidates may have:
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
Educational Background:
Bachelors or Masters degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field
Nice to Have
Experience with sports data platforms or analytics tools
Background in statistical modelling or predictive analysis
Experience working with structured evaluation frameworks
Why This Opportunity
Contribute expertise to help improve AI systems analysing sports performance and statistics
Support the development of accurate and reliable sports analytics outputs
Work flexibly in a remote environment while contributing to cutting-edge AI projects
Apply domain knowledge to real-world sports data evaluation tasks
Contract Details
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
About the Platform
This opportunity is available through a leading AI-driven work platform.
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