Data Analyst | Up to $60/hr Rate

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Expert Evaluator

Type: Part-time

Compensation: $40–$60/hour

Location: Remote

Commitment: 20–40 hours/week

Role 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 and asynchronously to complete evaluations within deadlines.
• Maintain consistency and precision across all assigned tasks.

Qualifications

Must-Have

• 2–3 years of professional experience in sports analytics, performance analysis, sports data research, or related roles.
• Experience with player statistics, advanced metrics, and performance indicators.
• Familiarity with team performance data, win-loss trends, and efficiency metrics.
• Experience in analyzing 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.
• Bachelor’s or Master’s degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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