TV Shows & Movies Domain Expert

The evolution of artificial intelligence relies fundamentally on human intelligence and rigorous domain expertise. As Large Language Models (LLMs) expand into creative domains, pop culture, and media history, they require precise guidance from professionals who understand the nuances of storytelling, cinematic history, and entertainment ecosystems.

Turing stands at the forefront of this technological revolution, partnering with the world's leading AI labs to enhance frontier model reasoning, multi-turn conversational capabilities, and factual accuracy. For entertainment professionals looking to pivot into AI training, the TV Shows & Movies Domain Expert position offers a unique, high-impact remote opportunity.

About Turing: Driving the Frontier of Artificial Intelligence

Turing is one of the world's fastest-growing AI companies, dedicated to accelerating the deployment of powerful AI systems. Their core mission operates on two distinct pillars: collaborating with top AI labs to advance frontier model capabilities across thinking, reasoning, coding, and multilinguality, and building real-world enterprise AI solutions that solve mission-critical challenges.

Role Overview: TV Shows & Movies Domain Expert

In this specialized role, you will serve as an evaluator and architect of evaluation datasets. Your objective is to rigorously test Large Language Models across a vast spectrum of entertainment topics—including classic and contemporary films, television series, streaming ecosystems, actors, directors, genres, industry awards, and franchise mythologies.

What Your Day-to-Day Looks Like

Working as a domain expert is intellectually rigorous and engaging. A typical day involves writing domain-specific prompts of varying complexity levels, comparing multiple AI responses side-by-side to rank their quality, and drafting clear explanations supported by reliable industry sources. You will also flag ambiguous questions and propose refined prompts to improve model reasoning.

Required Skills & Minimum Qualifications

To succeed in this role, candidates must possess a deep passion for cinema and television combined with robust analytical discipline:

• Education: Master’s degree or higher in any field, with a preference for Film Studies, Television Studies, Media Studies, Journalism, Communications, English/Literature, or Screen Studies.
• Industry Knowledge: Strong familiarity with films, TV series, creators, streaming platforms, and key historical developments in entertainment.
• Professional Experience: 3+ years in entertainment journalism, film/TV criticism, media research, content creation, or reporting.
• Communication: Exceptional written English, analytical sharpness, and meticulous attention to detail.

Preferred Qualifications: Prior experience working with LLMs, Generative AI evaluation, prompt engineering, published research, or teaching experience is a distinct plus.

Perks of Working with Turing

Contracting with Turing provides remote autonomy, competitive compensation, and the opportunity to work alongside elite AI researchers. You gain firsthand insight into how generative models are evaluated and refined at scale, cementing your position at the intersection of technology and media.

Engagement Details & Location

• Commitment Required: 40 hours per week, requiring at least 4 hours of overlap with Pacific Standard Time (PST).
• Employment Type: Contractor assignment (no medical benefits or paid leave).
• Duration: 8-week contract assignment.
• Location: US only (excluding California, Connecticut, Massachusetts, New Jersey, and Vermont).

Interview Process & Onboarding Roadmap

The selection process is straightforward yet selective:

1. Complete the initial assessment shared with you upon application.
2. Turing’s evaluation team reviews your submission for domain expertise and analytical rigor.
3. Selected candidates are contacted for onboarding and contract initiation.

Crucial Onboarding Tip: Once onboarded, complete your initial assessment and successfully finish your first 10 hours of work. This milestone ensures account stability, establishes your reputation on the platform, and unlocks access to more advanced tasks and sustained project pipelines.