Senior AI Trainer

micro1; Deutschland; On-site; EUR 59,000 - 107,000; Full time

Job summary

micro1 is seeking a Senior AI Trainer to collaborate on a customer-driven project, working remotely as a contractor to improve AI system accuracy through expert-level video annotation and data labeling.

You will review robotic arm footage, apply precise grading guidelines, tag events with exact timestamps, and ensure frame-accurate segmentation. You’ll use annotation tools, maintain high quality, and coordinate with project trainers to resolve ambiguities and meet milestones.

Qualifications

• 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.

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.

Skills

Video annotation

Attention to detail

Data labeling

Time management

Tools

Video annotation tools

Job description

Senior AI Trainer

$50 - $90/hour

pay

Required Skills

• Video Annotation
• Attention to Detail
• Data Labeling
• Video Annotation Tools
• Time Management

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

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 Qualifications:

• 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).
• Background in AI training, machine learning data preparation, or robotics projects (strongly preferred).