Micro1 review · AI Training & Data Labeling
Photographer (Robotics Video Annotation) — micro1
What the work involves
micro1 is engaging Photographers to contribute their expertise to a video annotation project for a customer. No prior AI experience is required — your domain knowledge is what matters. Your photography-trained eye will help train next-generation AI systems, shaping how models learn, reason, and perform through high-quality, real-world input.
The work is careful, repetitive, and rule-driven: you'll watch footage of robotic arms performing tasks, tag and categorize sessions to detailed grading guidelines, and evaluate visual and photographic quality — clarity, composition, relevance. You'll document subtle nuances and errors in robot task execution, follow protocols the same way every session, and submit accurate annotations and written observations through the project's tools.
What you'll do
- Review video footage of robotic arms performing a variety of tasks, ensuring careful observation of each session
- Apply video annotation and data labeling skills to tag and categorize footage according to the project's grading guidelines
- Evaluate visual and photographic quality within the videos, judging image clarity, composition, and relevance
- Spot and document visual nuances, discrepancies, or issues in robot task execution
- Follow established protocols and grading rules consistently across all assigned sessions for reliable, uniform data
- Submit clear, accurate annotations and written observations through project tools and workflows
- Collaborate asynchronously with trainers and coordinators to clarify guidelines and improve annotation quality
Requirements & eligibility
- Professional background in photography, with a keen eye for visual composition and technical image evaluation
- Demonstrated experience in video annotation, data labeling, or related AI training projects — ideally involving robotics or technical footage
- Exceptional attention to detail and an ability to spot subtle visual cues in dynamic environments
- Strong adherence to complex guidelines and repetitive processes without sacrificing accuracy or quality
- Experience using annotation platforms or visual data tools is highly desirable
- Comfort working independently and managing deliverables in a remote, asynchronous project setting
- Background knowledge in machine learning, robotics, or AI annotation is a plus but not required
- Physically based in Northern America, Latin America, Europe, the UK, or Oceania
How to apply
Applications go directly to micro1. Read their terms before you sign up — and if anything feels off, run the scam check below first.
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