Technical Trainer

About OpenTrain OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors for projects that help develop better artificial intelligence systems, and creating an account is free. Remote contractor opportunity Applicants must be based in the United States, United Kingdom, Canada, Australia, Ireland, or New Zealand Fluent English proficiency required Project duration expected to be 3 to 6 months Compensation of $50 to $90 per hour, with a listed rate of $70 per hour About AI Training and Video Annotation AI training is the human work behind modern artificial intelligence. Contributors review examples, label important events, and provide structured feedback so machine learning systems can better understand real-world actions and outcomes. In this role, your video annotations will help prepare visual data involving robotic arms. Careful timestamping and consistent event labeling are essential for teaching AI models how to interpret robotic activity. Work on cutting-edge AI and machine learning data preparation Use visual evidence to help models recognize actions, transitions, and outcomes Perform detailed review work remotely with flexible project participation The Senior AI Trainer Role As a Senior AI Trainer, you will review video footage of robotic arms performing assigned tasks and create accurate, structured annotations. You will identify key actions and outcomes, mark their exact timing, and verify that every annotation aligns with the underlying footage. This is an intermediate-level contractor role for someone who can work independently, communicate clearly, and maintain rigorous standards across a sustained annotation project. Employment type: Contractor Work arrangement: Remote Data type: Video Focus: Robotics AI training and machine learning data preparation Compensation: $50 to $90 per hour What You'll Do You will use video annotation tools and platforms to document robotic-arm behavior and submit annotated datasets according to project standards and milestones. You will also collaborate with project trainers and other contributors to resolve ambiguous cases and improve consistency. Ongoing quality reviews are part of the work. You will incorporate feedback, identify annotation issues, and correct timestamp drift or other inconsistencies between labeled events and the source footage. Review footage of robotic arms executing assigned tasks Identify important actions, transitions, and outcomes Apply detailed grading guidelines to tag and annotate visual events Mark precise start and end timestamps for key actions Create frame-accurate segmentation of each video session Verify timestamp alignment and correct drift or inconsistencies Submit annotated datasets in line with project standards and milestones Resolve annotation ambiguities with project trainers and contributors Participate in quality reviews and apply feedback Required Qualifications You should be highly attentive to detail and comfortable making precise judgments while reviewing visual data. Strong communication, organization, and analytical skills are important because the work involves independent remote participation and collaboration on annotation standards. Exceptional attention to detail and accuracy when reviewing and tagging visual data Strong written and verbal communication skills Effective time management and self-organization Analytical and problem-solving mindset Proactive approach to resolving annotation challenges Fluent English proficiency Location in the United States, United Kingdom, Canada, Australia, Ireland, or New Zealand Preferred Experience Experience with video annotation, data labeling, or similar data-centric projects will help you succeed. Familiarity with frame-level review and timeline-based tools is especially relevant to the timestamping and event-segmentation work required here. Prior video annotation or data-labeling experience Familiarity with video annotation software and timeline-based interfaces Experience marking event boundaries or working with timecodes Understanding of frame rates or frame-by-frame footage review Background in AI training, machine learning data preparation, or robotics projects Why This Work Matters People who train and evaluate AI systems are helping shape how emerging technology behaves. By carefully documenting robotic actions and outcomes, you will contribute to the data foundations that make machine learning systems more capable and reliable. AI training work is a growing way to participate in technology without needing a traditional office-based role. This project offers remote contract work focused on a specialized, real-world AI application. Contribute directly to robotics and AI development Build experience in visual data annotation and machine learning preparation Work remotely as part of a focused project team #J-18808-Ljbffr