Job Description
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
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