Photographe

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.