17D AGO

Senior AI Trainer

micro1 / Senior AI Trainer

RATE

$50 - $90/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

Role Title: Senior AI Trainer Role Type: Contractor Location: Remote micro1 is engaging Senior AI Trainers to collaborate on a customer-driven project enhancing AI system accuracy through expert-level video annotation and data labeling. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Review video footage of robotic arms executing assigned tasks, identifying key actions and outcomes with precision. • Apply detailed grading guidelines to accurately tag and annotate events, providing structured observations that improve model performance. • Mark precise timestamps for the start and end of key actions, transitions, and outcomes, ensuring frame-accurate segmentation of each video session. • Verify timestamp accuracy and alignment across annotations, correcting drift or inconsistencies between labeled events and the underlying footage. • Utilize video annotation tools and platforms to record findings and submit annotated datasets in alignment with project standards and milestones. • Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure annotation consistency across the team. • Participate in ongoing quality reviews, incorporating feedback to maintain rigorous annotation standards. Required Skills and

REQUIREMENTS

▸Exceptional attention to detail and accuracy in reviewing and tagging visual data.
▸Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
▸Demonstrated time management and self-organization abilities for independent, remote project participation.
▸Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges.
▸Preferred Qualifications:
▸Proven experience with video annotation, data labeling, or similar data-centric annotation projects.
▸Familiarity with video annotation tools and software platforms, including timeline-based interfaces for timestamping and event segmentation.
▸Experience with frame-level or timecode-based annotation (e.g., marking event boundaries, working with frame rates, or reviewing footage frame by frame).