Senior AI Trainer, Video Annotation

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this remote Senior AI Trainer opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover meaningful projects and grow their experience in a rapidly expanding field.

In this role, you will contribute to the human work behind modern AI systems. Your careful review of robotic-arm footage will help prepare high-quality training data and improve how models understand actions, transitions, and outcomes.

The Role

As a Senior AI Trainer, you will review video footage of robotic arms executing assigned tasks and create precise, structured annotations. You will follow detailed grading guidelines, identify important events, and record frame-accurate timestamps for each video session.

This is a remote contractor position for an expert-level contributor. The project is expected to run for 6 or more months, with compensation of $50 to $90 per hour.

• Employment type: Contractor
• Work arrangement: Remote and worldwide
• Compensation: $50-$90 per hour
• Expected project duration: 6+ months
• Required language: Fluent English

What You'll Do

You will work with video annotation tools and platforms to document robotic-arm behavior and submit labeled datasets according to project standards and milestones. The work requires careful visual analysis, consistent application of guidelines, and reliable independent execution.

You will also contribute to evaluation and quality processes by checking annotation accuracy, resolving inconsistencies, and incorporating feedback from project trainers and other contributors.

• Review robotic-arm video footage and identify key actions, transitions, and outcomes.
• Apply grading guidelines to tag and annotate visual events accurately.
• Mark precise start and end timestamps for frame-accurate event segmentation.
• Verify timestamp alignment and correct drift or inconsistencies across annotations.
• Use video annotation tools to record findings and submit completed datasets.
• Collaborate with project trainers and contributors to resolve ambiguous cases.
• Participate in ongoing quality reviews and maintain rigorous annotation standards.
• Complete video labeling and evaluation rating tasks.

Required Qualifications

Success in this role depends on exceptional attention to detail, strong analytical judgment, and the ability to work independently in a remote project environment. You should be comfortable communicating clearly about progress, challenges, and ambiguous annotation cases.

Fluent English proficiency is required. Experience with video labeling workflows, evaluation rating tasks, robotics AI training, or machine learning data preparation is important for this specialized opportunity.

• Exceptional accuracy and attention to detail when reviewing visual data.
• Strong written and verbal communication skills.
• Effective time management and self-organization for remote work.
• An analytical and problem-solving mindset.
• A proactive approach to resolving annotation challenges.
• Experience with video labeling or similar data-centric annotation projects.
• Experience with video annotation tools and timeline-based interfaces.
• Experience marking event boundaries, working with timecodes, or reviewing footage frame by frame.
• Expert-level experience in robotics AI training or machine learning data preparation.

Why AI Training Work Matters

AI training is the human side of building artificial intelligence. People prepare and evaluate examples that help modern models learn to recognize actions, interpret information, and produce more reliable results.

By labeling robotic-arm footage with precise event boundaries and outcomes, you will support cutting-edge AI development while building experience in a fast-growing technology field.

• Contribute directly to the development of next-generation AI systems.
• Apply specialized video annotation and evaluation skills to real training data.
• Work remotely on a project expected to continue for 6 or more months.

How to Apply

Create a free OpenTrain account and apply in minutes. Review your profile and experience carefully, especially your video annotation, evaluation rating, robotics, and machine learning background, so your application reflects the expertise this project requires.

• Confirm your fluent English proficiency.
• Highlight relevant video labeling and timestamp annotation experience.
• Include robotics AI training or machine learning data preparation expertise.
• Apply through OpenTrain for consideration as a remote contractor.