AI Trainer | $30/hr | Remote

Senior AI Trainers, Video Annotators & Data Labeling Specialists. Remote AI Project

We are seeking experienced Senior AI Trainers, Video Annotators, Data Labeling Specialists, and Visual Data Review Professionals to contribute to a remote project focused on improving AI systems through high-quality video annotation and structured data labeling.

You will review footage of robotic arms completing real-world tasks, identify important actions and outcomes, mark precise timestamps, and ensure annotations remain accurate and consistent across large datasets.

Strong annotation experience, visual attention to detail, and the ability to apply detailed grading guidelines consistently are especially valuable.

What You’ll Do

• Review video footage of robotic arms performing assigned tasks and identify important actions, interactions, transitions, and outcomes.
• Apply detailed annotation and grading guidelines to label events accurately and consistently.
• Mark precise start and end timestamps for actions, state changes, transitions, and task outcomes.
• Perform frame-level review when necessary to determine exact event boundaries.
• Verify annotation timing and correct timestamp drift, alignment issues, or inconsistent event segmentation.
• Use video annotation platforms and timeline-based tools to create and submit structured datasets.
• Identify ambiguous footage or unclear events and document observations for further review.
• Review annotations created by other contributors and help maintain consistent quality standards.
• Collaborate with trainers and project contributors to resolve edge cases and refine annotation guidelines.
• Incorporate quality feedback and maintain high annotation accuracy across assigned batches.

Who Can Apply

Relevant backgrounds include AI Trainers, Senior AI Trainers, Data Annotators, Data Labelers, Annotation Specialists, and AI Data Specialists.

We also welcome Video Annotators, Video Labeling Specialists, Visual Data Annotators, Image and Video Annotators, and Multimedia Annotation Specialists.

Computer vision backgrounds may include Computer Vision Annotators, Computer Vision Data Specialists, Visual Dataset Specialists, and Machine Learning Data Annotators.

Quality backgrounds may include Annotation QA Specialists, Data Quality Analysts, Quality Reviewers, Data Validation Specialists, and Annotation Quality Leads.

Video and media backgrounds may include Video Reviewers, Media Review Specialists, Video Editors, Post-Production Professionals, and Visual Content Reviewers with strong frame-level analysis skills.

Additional relevant backgrounds include Robotics Data Annotators, Autonomous Systems Annotators, Dataset Operations Specialists, AI Evaluation Specialists, and Human Data Quality Professionals.

Requirements

• Exceptional attention to detail and accuracy when reviewing visual data.
• Strong ability to follow detailed annotation and grading guidelines consistently.
• Experience identifying actions, transitions, and outcomes within video footage.
• Ability to work accurately with timestamps and event boundaries.
• Strong written and verbal communication skills.
• Good analytical and problem-solving abilities.
• Strong time management and self-organization skills.
• Ability to maintain accuracy during repetitive annotation tasks.
• Comfortable working independently in a remote environment.

Preferred Background

• Professional experience with video annotation, data labeling, visual data review, or structured dataset creation.
• Experience with frame-level or timecode-based annotation.
• Experience using timeline-based video annotation tools and software platforms.
• Experience performing annotation quality assurance or reviewing other contributors' work.
• Experience with robotics footage, computer vision datasets, or multimodal data is highly valuable.
• Experience with AI training, machine learning data preparation, human data collection, or model evaluation is strongly preferred.
• Experience writing or refining annotation guidelines, taxonomies, or quality standards is a plus.

This opportunity is ideal for experienced annotation professionals who can watch a complex video sequence, identify exactly what happened and when, mark precise event boundaries, recognize inconsistencies in existing labels, and maintain reliable annotation quality across large volumes of data. We are a referral partner of the client