Description review
Senior AI Trainer
micro1 · Albania, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Canada, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Malta, Moldova, Montenegro · back to the listing
HR standards
68/100
needs work
Title ↔ description
72/100
solid
Reads as
Unclear
no confident match
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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).
Originally posted on Himalayas
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).
Originally posted on Himalayas