Photographer

Remotebridge; Colombia; Remote; COP 89,182,000 - 178,365,000; Full time

Job summary

PhotographerFrontier AI Lab is seeking photographers for a remote, contractor-based role to annotate robotic arm footage and contribute to AI training data. You will apply your expertise to ensure high-quality, consistent labeling that guides model learning and performance.

No AI programming experience is required; your photography skills and attention to detail are what matter, with work managed asynchronously in a remote setting.

Qualifications

• Professional photography background and eye for visual composition.
• Experience with video annotation or data labeling for AI training projects is preferred.
• Able to follow detailed grading guidelines and maintain consistency across sessions.

Responsibilities

• Review robotic arm footage and apply precise video annotation per project guidelines.
• Evaluate visual quality, image clarity, composition, and relevance of frames.
• Document observations and discrepancies clearly using project tools and workflows.
• Collaborate asynchronously with trainers and coordinators to improve annotation quality.

Skills

Photography

Video annotation

Attention to detail

Annotation tools

Tools

Annotation platforms

Job description

# PhotographerFrontier AI Lab · Remote · Full-time## Ready to see if you fit?Upload a resume once, then run an honest fit check on this role in seconds. Access is free and always will be.Sign up to check your fit## About the roleRole Title: PhotographerRole Type: ContractorLocation: 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.