Photographer | $90/hr Remote

Crossing Hurdles; Canada; Remote; CAD 40,000 - 60,000; Full time

Job summary

Crossing Hurdles is seeking a detail-oriented contributor to annotate robotics footage for AI training. You will review video of robotic arms, tag and categorize per guidelines, and evaluate image quality and relevance.

Work remotely on a flexible, asynchronous schedule, delivering clear annotations and notes while adhering to project protocols and ensuring data consistency across sessions. Experience with photography and data labeling is required; familiarity with annotation platforms is a

Qualifications

• Professional photography background and keen eye for visual composition.
• Proven experience in video annotation and data labeling for AI training.
• Strong attention to detail with ability to spot subtle visual cues in dynamic footage.
• Ability to follow complex guidelines and repetitive processes without sacrificing quality.
• Experience using annotation platforms or visual data tools is highly desirable.
• Comfort working independently in a remote, asynchronous project setting.

Responsibilities

• Review video footage of robotic arms and document observations.
• Apply detailed annotation and data labeling to tag footage per grading guidelines.
• Evaluate visual and photographic quality, judging clarity, composition and relevance.
• Spot and document visual nuances or issues in robot task execution.
• Follow project protocols to ensure data uniformity and reliability.
• Submit accurate annotations and observations through project tools.
• Collaborate asynchronously with trainers and project coordinators to clarify guidelines.

Skills

Photography background

Video annotation

Data labeling

Attention to detail

Adherence to guidelines

Annotation platforms

Remote/async work

Job description

• Review video footage of robotic arms performing 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.
• 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.
• Follow established project protocols and grading rules consistently for all assigned sessions to ensure data uniformity and reliability.
• Submit clear, accurate annotations and written observations through project tools and workflows.
• Collaborate asynchronously with trainers and project coordinators to clarify guidelines or improve annotation quality.

Requirements

• 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.