Video Production and Post-Production Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, consolidate opportunities across platforms, and build a durable freelance AI training portfolio they control.

This role is part of OpenTrain's mission to connect experienced practitioners with projects that shape how next-generation AI systems learn from high-quality human examples.

About AI training and why it matters

AI training (data labeling / human feedback) is the human work behind modern AI systems: experts prepare, review, and evaluate examples that teach models how to perceive, edit, and generate content. Contributors work remotely, often on flexible schedules, and directly influence model behavior and quality.

This project focuses on video — a complex, high-impact modality where professional judgment about framing, editing, effects, and motion plays a major role in training useful, reliable systems.

The role

We are looking for a video production and post-production specialist to evaluate and rate video assets used to train AI models. Your hands-on production experience will guide annotation decisions, review model outputs, and help curate representative, high-quality datasets.

Work is remote, contractor-based, and requires clear documentation and constructive communication with AI researchers and engineers. Labeling work will center on evaluation/rating of video content using custom tools ().

What you'll do

• Provide precise feedback and technical insights based on professional video production and post workflows.
• Analyze clips to identify technical and creative details (editing, color, VFX, motion, composition) relevant for training models.
• Evaluate and rate AI-generated video outputs for accuracy, visual quality, and adherence to production standards.
• Collaborate with researchers and engineers to interpret annotation guidelines and refine dataset quality.
• Document observations clearly so non-experts can apply your feedback to model training and evaluation.
• Curate and recommend diverse, high-quality video samples across genres, formats, and production scenarios.
• Stay current on production trends and tools to keep training materials relevant and innovative.

Requirements

This role requires demonstrable, professional experience in video production or post-production and strong communication skills for cross-functional collaboration.

• Extensive professional experience in a video-centric role (video editor, cinematographer, VFX artist, motion designer, or similar).
• Deep understanding of video production workflows, editing software, and/or visual effects pipelines.
• Exceptional attention to technical and aesthetic detail in motion picture work.
• Outstanding written and verbal communication skills; able to explain complex concepts to non-experts.
• Ability to work independently and manage time effectively in a remote environment.
• Comfortable giving constructive feedback and performing iterative, detail-oriented tasks.

Helpful background (not required)

• Experience working with AI, machine learning, or data annotation projects.
• Familiarity with diverse video genres, production styles, and technical standards.
• Background in training, mentoring, or creating technical documentation within video production.

Compensation, schedule, and logistics

Pay: Pay-per-hour, USD $40–$80 per hour. This is a contractor, part-time engagement.

Time: 20+ hours per week expected. The project is remote-friendly and open to contributors worldwide who are fluent in English.

• Data type: VIDEO; primary labeling task: evaluation/rating.
• Labeling tools: Other/custom software provided by the project.
• Employment type: Contractor, Part-time.

How to apply

Create or sign in to your OpenTrain profile, complete your skills and experience details, and apply to this project. OpenTrain is free to join and designed to help you build a portfolio of AI training work.

When you apply, highlight your video production credits, tools you use, and any past annotation or AI-related experience. Clear examples of past work or a showreel will help reviewers assess fit.