Film & Television Reviewer – AI Evaluation

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Create advanced film and television prompts across a range of topics and difficulty levels • Evaluate and rank multiple AI-generated responses • Verify claims related to films, TV shows, streaming content, actors, directors, awards, genres, and franchises • Identify factual inaccuracies, hallucinations, outdated information, logical inconsistencies, and edge cases • Explain why responses are correct or incorrect using reliable references • Identify ambiguous or weak questions and propose improved prompts • Develop benchmark datasets and adversarial test cases • Provide clear, objective, and evidence-based feedback • Maintain accurate documentation and consistent annotation quality • Collaborate with AI researchers and project teams to improve model performance

🎯 Requirements

• Master’s degree or higher in Film Studies, Television Studies, Media Studies, Cinema Studies, Screen Studies, or a closely related discipline • At least 3 years of professional, research, or teaching experience related to film, television, media, or entertainment • Strong knowledge across film, television, streaming, actors, directors, genres, awards, franchises, or entertainment history • Ability to research and verify entertainment-related claims using authoritative sources • Strong analytical skills and ability to assess factual and contextual accuracy • Excellent written English • Strong attention to detail • Ability to work independently and provide objective, evidence-backed reviews