Remote Domain Expert - Sports

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• Identify hallucinations, logical inconsistencies, outdated information, and edge cases.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.

• 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.

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.