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# Remote Domain Expert Reviewer - 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
- **Published:** August 28, 2026
- **Apply:** https://turing.betterteam.com/remote-domain-expert-reviewer-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 reviewing AI-generated content, LLM evaluations, prompt engineering, or annotation quality.
 * Familiarity with quality assurance, editorial review, or technical content evaluation workflows.
 * Strong understanding of scientific principles, technological advancements, and emerging technologies.
 * Ability to provide objective, evidence-based feedback while maintaining consistent quality standards.
 * Experience working independently in a fast-paced, quality-focused environment.

## Description

We are seeking a highly qualified Sports Domain Reviewer to support the quality assurance of Large Language Model (LLM) evaluation projects. In this role, you will review domain-specific prompts, evaluate completed tasks for accuracy and quality, ensure adherence to project guidelines, and provide actionable feedback to maintain high annotation standards. Your expertise in sports will help ensure the reliability, consistency, and quality of AI evaluation data across a wide range of sporting disciplines., * Review and validate domain-specific prompts covering global sports, leagues, athletes, tournaments, rules, statistics, sports history, analytics, and related topics.

 * Evaluate completed tasks to ensure factual accuracy, reasoning quality, completeness, and compliance with project guidelines.
 * Identify factual inaccuracies, logical inconsistencies, hallucinations, outdated information, and low-quality annotations.
 * Ensure prompts are challenging, relevant, and aligned with project objectives.
 * Provide clear, constructive, and evidence-based feedback to contributors to improve task quality.
 * Maintain consistency across reviews by following established quality standards and review guidelines.
 * Escalate ambiguous or complex cases when necessary and document review findings.
 * Collaborate with project managers and AI teams to continuously improve evaluation quality and review processes.


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