Stellenbeschreibung
Job Summary
One of our client is seeking experienced Sports Analytics Evaluators to support a high-impact evaluation workflow in collaboration with an advanced AI research initiative. This role focuses on reviewing and assessing AI-generated research reports related to player statistics, team performance data, league standings, historical records, and game analytics. You will ensure analytical accuracy, statistical validity, and clarity across sports-focused research outputs.
Key Responsibilities
- Evaluate AI-generated sports research reports for accuracy, relevance, and data integrity.
- Assess insights derived from player statistics, advanced metrics, and performance indicators.
- Review team performance data, win-loss trends, efficiency metrics, and seasonal comparisons.
- Verify league standings, rankings, and historical records using credible public sources.
- Interpret game analytics including play-by-play data, predictive models, and advanced statistical measures.
- Identify inconsistencies in comparative metrics, performance analysis, and trend interpretations.
- Work independently to complete evaluations within deadlines while maintaining high precision and consistency.
Required Skills and Qualifications
- 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 key performance indicators.
- Familiarity with team performance analysis, efficiency metrics, and trend evaluation.
- Hands-on experience analysing league standings, rankings, and historical sports data.
- Understanding of predictive modelling, play-by-play analytics, or advanced statistical methods in sports.
- Experience sourcing and validating sports datasets, statistical tables, and historical records from reputable sources.
- Strong analytical skills and exceptional attention to detail.
- Excellent written communication skills.
- Ability to work independently in a remote, asynchronous environment.
Educational Background
Bachelor's or Master's degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field.
Role Details
- Part-time engagement (20-40 hours per week) with flexible scheduling.
- Competitive hourly rate based on expertise and experience.
Contract and Payment Terms
- This position is offered as an independent contractor role.
- Work is fully remote and can be completed on your own schedule.
- Project duration may vary depending on business needs and performance.
- Payments are issued weekly via Stripe or Wise based on services rendered.
- Applicants requiring H1-B or STEM OPT sponsorship cannot be supported for this role.
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