Senior Data Analyst | $60/hr Max

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.*
,