Photographer

pay

Required Skills
Video Annotation
Data Labeling
Attention to detail
Spotting Visual Details in Footage
Photography Knowledge Applied to Judging Images
Following Rules the Same Way Every Time
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: Photographer

Role Type: Contractor

Location: Northern America, Latin America, Europe, UK, Oceania.

micro1 is engaging Photographers to contribute their expertise to a video annotation project for a customer. 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. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Review video footage of robotic arms performing a variety of tasks, ensuring careful observation of each session.
Apply detailed video annotation and data labeling skills to tag and categorize footage according to specific grading guidelines provided by the project.
Evaluate visual and photographic quality within the videos, applying photography principles to judge image clarity, composition, and relevance.
Spot and document visual nuances, discrepancies, or issues in robot task execution, maintaining strict attention to detail at all times.
Follow established project protocols and grading rules consistently for all assigned sessions to ensure exceptional data uniformity and reliability.
Submit clear, accurate annotations and written observations through project tools and workflows.
Collaborate asynchronously with trainers and project coordinators as needed to clarify guidelines or improve annotation quality.

Preferred Qualifications

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 projects is a plus but not required.
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