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.

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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

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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

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Role Details

• Part-time (20–40 hours/week) with flexible scheduling

• Competitive rates: $40–$60/hour depending on expertise