Sports Analytics Evaluators

Mercor is seeking expert evaluators to support a high-impact evaluation workflow in partnership with a leading AI research lab.

This project focuses on the Sports Analytics domain, where you will assess agent-generated research reports related to player statistics, team performance data, league standings, historical records, and game analytics.

Who We're Hiring

We are looking for evaluators with a background in Sports Analytics, Data Analysis, Sports Management, Statistics, or related fields.

This role is ideal for professionals who 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 in 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
• Comfort working independently and asynchronously
  
  
  

Educational Background:

• Bachelor’s or Master’s degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field
  
  
  

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
  
  
  

Role Details

• Part-time (20–40 hours/week) with flexible scheduling
• Competitive rates: $40–$60/hour depending on expertise