Domain Expert - TV Show & Movies
Overview
Turing is hiring a TV Shows & Movies Domain Expert for an 8-week contractor assignment focused on evaluating and improving large language models. The day-to-day work centers on creating prompts of varying difficulty across entertainment topics, then comparing and ranking AI responses. The expert will judge responses for factual accuracy, reasoning, completeness, and nuance, and will flag hallucinations, outdated information, and edge cases. This remote role is open to US-based candidates who can commit 40 hours per week with 4 hours of daily overlap with PST.
What You'll Do9
- 1Write advanced prompts that cover film, television, streaming, actors, directors, genres, awards, franchises, and entertainment history.
- 2Assess AI-generated responses for factual accuracy, reasoning quality, completeness, and nuance.
- 3Spot hallucinations, logical inconsistencies, outdated facts, and edge cases in model outputs.
- 4Build benchmark datasets and adversarial test cases to uncover model weaknesses.
- 5Explain why a model response is correct or incorrect using authoritative references.
- 6Compare multiple AI responses, rank them, and justify each ranking.
- 7Work with AI researchers to turn evaluation findings into model improvements.
- 8Maintain high annotation quality and document your evaluation decisions.
- 9Identify ambiguous questions and propose clearer prompt alternatives.
Requirements7
- 1Hold a master's degree or higher in any field; entertainment-related disciplines like Film Studies, Television Studies, Media Studies, Journalism, Communications, English, or Screen Studies are preferred.
- 2Show strong knowledge of movies and television, including actors, directors, creators, genres, franchises, awards, streaming platforms, and industry developments.
- 3Bring 3+ years of professional experience in entertainment journalism, film or TV criticism, entertainment media, content creation, research, analysis, or reporting.
- 4Write and research in excellent English with strong analytical reasoning.
- 5Check movie and television information with consistent attention to detail.
- 6Prefer candidates with experience using LLMs, generative AI, prompt engineering, or AI evaluation.
- 7Published research, industry recognition, or teaching experience is a plus.
Who Should Apply
This role belongs to an entertainment expert who enjoys close factual verification and can defend judgments with references. Someone with a graduate degree and 3+ years in criticism, journalism, or media research will fit the structured evaluation workflow. The role is less suitable for writers who want open-ended creative assignments rather than repeated scoring and annotation tasks. Candidates often fall short when they cannot cite authoritative references for their verdicts or when their entertainment knowledge is broad but not deep enough for nuanced prompt evaluation.
Location
Required Skills
Application Tip
Show concrete prompt engineering or LLM evaluation experience in your application. Include a sample film or TV evaluation that cites authoritative sources and demonstrates how you would rank model responses. Mention any past work with benchmark datasets or annotation volumes if you have them.
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