Producer and Director Expert for Media Production AI

You will create challenging questions and case studies that test how AI systems handle real media production decisions. Your work will draw on film, television, theater, and related production practice.

You will also review model responses, judge whether they are accurate and practical, and give detailed feedback that helps improve AI training content.

• Write scenarios about script interpretation, shot composition, talent direction, scheduling, and budget management.
• Cover creative problem-solving, post-production workflows, and other production decisions.
• Assess responses for accuracy, practical value, and alignment with established production workflows and standards.
• Work with media production and technical experts to keep challenges rigorous, useful, and educational.

What it pays and takes

A degree in film, theater, media production, or a related field can meet the education requirement, along with equivalent professional experience.

• Pay: $75 per hour.
• Language: Fluent English is required.
• Location: Open to candidates in the countries specified for this role across North America, Europe, Asia, Africa, and other regions.
• Experience: Professional experience as a producer, director, or media production leader is required.
• Knowledge: Strong understanding of production workflows and creative processes across film, television, theater, or related media.
• Skills: Excellent analytical, written, and verbal communication, plus close attention to detail.
• Helpful background: Experience across commercials, digital content, film, television, or theater.
• Helpful background: Familiarity with budgeting, crew management, post-production, distribution, production training, media technology initiatives, or technology-driven production applications.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind many artificial intelligence systems. People create examples, write questions, and review model answers so AI systems learn to produce more useful and accurate results.

Your production knowledge helps test whether an AI system can apply creative and operational principles to realistic media situations.