Domain Expert- Sports
Overview
This role focuses on improving Large Language Models (LLMs) by applying deep sports knowledge and analytical rigor. The expert will craft challenging prompts across global sports, leagues, athletes, tournaments, rules, statistics, and analytics. Each response gets checked for factual accuracy, reasoning quality, completeness, and nuance, with evidence-backed feedback. The work also involves building benchmark datasets and adversarial test cases to expose model gaps. This is a remote contractor assignment lasting 8 weeks with a 40-hour weekly commitment.
What You'll Do7
- 1Design challenging prompts that cover worldwide sports, major leagues, teams, athletes, tournaments, rules, statistics, and analytics.
- 2Review AI-generated responses and score them for factual accuracy, reasoning quality, completeness, and nuance.
- 3Identify hallucinations, logical inconsistencies, outdated information, and edge cases in model output.
- 4Create benchmark datasets and adversarial test cases to measure model performance and uncover weaknesses.
- 5Deliver evidence-based feedback backed by reliable references for every evaluation.
- 6Work alongside AI researchers to refine and improve model responses.
- 7Keep detailed documentation of annotations and quality decisions.
Requirements6
- 1Master's degree or higher in any field; a degree in sports management, sports science, journalism, communications, media studies, or a sports-related discipline is preferred.
- 2Strong command of major sports, leagues, teams, athletes, tournaments, rules, statistics, and current developments across one or more sports.
- 3At least 3 years of professional experience in sports journalism, sports media, sports content, research, analysis, reporting, or a related area.
- 4Excellent written English, research, and analytical skills for assessing sports-related information accurately.
- 5High attention to detail and a consistent approach to verifying facts.
- 6Experience with LLMs, generative AI, prompt engineering, or AI evaluation is a plus, as is published research, industry recognition, or teaching experience.
Who Should Apply
Sports professionals with a Master's degree and at least 3 years of hands-on experience in sports journalism, media, research, or analysis will fit this role well. The work suits people who enjoy scrutinizing AI output for factual errors and can back every judgment with reliable sources. It is less suitable for casual sports fans or those without strong writing and research skills. Candidates often get rejected when they rely on general impressions instead of concrete evidence, or when their assessment submission misses the depth and reference-backed detail required. Those who lack familiarity with LLMs and AI evaluation should also expect a harder fit review.
Location
Required Skills
Application Tip
During the assessment, include specific references and cite sources for every factual judgment you make, because the role centers on evidence-based feedback and factual accuracy.
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