Data Annotation
Photographer
Status: Open
- Pay
- $50–$90/hr
- Location
- Northern America, Latin America, Europe, UK, Oceania.
- Employment type
- Contractor
- Openings
- 250
- Posted
- 2026-09-29
About this opportunity
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.
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
What you'll do
- 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.