Sports Analytics Evaluators
Mercor, New York, NY, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr