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Film Research Remote Jobs (NOW HIRING)

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Contract Compensation: $60-$90/hour Location: Remote Commitment: 20 hours/week Role ...

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Remote Commitment: 10-40 hours/week Role Responsibilities * Contribute domain expertise across ALD ...

$16/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The student researcher will assist with synthesis and characterization of thin film semiconductor ...

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Film Research Remote information

What is the difference between Film Research Remote vs Film Data Analyst?

AspectFilm Research RemoteFilm Data Analyst
CredentialsTypically requires film studies, media, or related degreesRequires data analysis, statistics, or related certifications
Work EnvironmentRemote, often freelance or project-basedRemote or on-site, corporate or studio settings
Industry UsageUsed mainly in film production, research, and developmentUsed in studio analytics, marketing, and distribution
Search & Comparison IntentOften compared for research roles in film industryCompared for data-driven roles in film industry

Film Research Remote focuses on researching film content, trends, and industry insights, often requiring media or film studies backgrounds. Film Data Analyst emphasizes analyzing film-related data, requiring strong analytical skills and data certifications. Both roles are remote but serve different functions within the film industry, with overlapping skills in research and analysis.

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What are the most commonly searched types of Film Research jobs?

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Infographic showing various Film Research Remote job openings in the United States as of August 2026, with employment types broken down into 9% Internship, 73% Full Time, 9% Part Time, and 9% Contract. Highlights an 3% In-person, and 97% Remote job distribution.

Film & Television Reviewer (AI Evaluation)

Gramian Consulting Group

Remote

Contractor

Posted 6 days ago


Job description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for an experienced Film & Television Domain Expert to support the evaluation and improvement of advanced Large Language Models.
The role involves creating challenging prompts, comparing AI-generated responses, and assessing factual accuracy, reasoning quality, completeness, and nuance across film, television, streaming, actors, directors, genres, awards, franchises, and entertainment history.
CONTRACT: Contractor assignment, PAY PER TASK, 8 weeks
COMMITMENT: Full-time, 40 hours per week with at least 4 hours of PST overlap
LOCATIONS: Remote - USA
Key Responsibilities
  • 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.