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# Remote Domain Expert - Sports

- **Company:** Cornerstone Barricades
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $83,200.0 - $104,000.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Large Language Models, Prompt Engineering, Generative AI
- **Published:** August 28, 2026
- **Apply:** https://turing.betterteam.com/remote-domain-expert-sports-3/apply

## About the Role

* Master's degree or higher in any field; degrees in Sports Management, Sports Science, Journalism, Communications, Media Studies, or other sports-related disciplines are preferred.
 * Strong knowledge of sports, including familiarity with major leagues, teams, athletes, tournaments, rules, statistics, and key developments across one or more sports.
 * 3+ years of relevant professional experience, preferably in sports journalism, sports media, sports content, research, analysis, reporting, or a related field.
 * Excellent written English, research, and analytical skills.
 * Strong attention to detail and ability to assess sports-related information accurately., * Experience with LLMs, Generative AI, prompt engineering, or AI evaluation.
 * Published research, industry recognition, or teaching experience is a plus.
 * Ability to work independently and provide objective, evidence-backed reviews.

## Description

We are seeking a highly qualified Sports Domain Expert to evaluate and improve Large Language Models (LLMs). You will design challenging prompts, assess factual accuracy and reasoning, and identify knowledge gaps within global sports, leagues, athletes, tournaments, rules, statistics, analytics., * Create advanced prompts covering global sports, leagues, athletes, tournaments, rules, statistics, analytics.

 * Evaluate AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance.
 * Identify hallucinations, logical inconsistencies, outdated information, and edge cases.
 * Develop benchmark datasets and adversarial test cases.
 * Provide evidence-based feedback with reliable references.
 * Collaborate with AI researchers to improve model performance.
 * Maintain high annotation quality and documentation.


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