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Photographer – Visual Data Specialist (Remote | $50–$90/hr)
- Canada
- Remote
- Posted Oct 2, 2026
- 1 position
US$50–US$90 / hour
- Employment type
- Part-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Review robotic-arm footage, annotate and categorize video according to project guidelines, and assess visual quality using photography principles. Document visual details and execution issues, submit clear observations, and collaborate asynchronously to clarify guidelines and improve annotation quality.
Job details
Photographer Position: Photographer Type: Contractor Compensation: $50–$90/hour Location: Remote About the Opportunity We are seeking experienced Photographers to contribute to a video annotation project supporting next-generation AI systems. You’ll use your photography and visual-analysis expertise to review robotic-arm footage, identify visual details, and apply consistent annotation standards. No prior AI experience is required — your photography and visual expertise are what matter. Key Responsibilities Review robotic-arm video footage and carefully observe task execution. Apply video annotation and data-labeling guidelines to categorize footage. Evaluate visual quality using photography principles, including clarity, composition, and relevance. Identify and document visual details, discrepancies, and execution issues. Follow detailed grading rules consistently to maintain accurate and reliable data. Submit clear annotations and observations through project tools. Collaborate asynchronously with project teams to clarify guidelines and improve annotation quality. Required Qualifications Professional or demonstrated experience in photography with strong visual judgment. Strong understanding of image quality, composition, and visual details. Exceptional attention to detail when reviewing dynamic footage. Ability to consistently follow detailed guidelines and repetitive evaluation processes. Strong written communication and ability to document visual observations. Ability to work independently in a remote, asynchronous environment. Preferred Qualifications Experience with video annotation or data labeling. Experience using annotation platforms or visual data tools. Experience working with robotics, technical footage, or AI training projects. Background knowledge of machine learning, robotics, or AI annotation. Compensation Competitive compensation of $50–$90/hour. Independent contractor engagement. Remote and flexible project-based work. Approximately 250 positions available. Application Process Submit your application and relevant experience. Complete any required screening or evaluation. Complete project onboarding and annotation guidelines training. Begin reviewing and annotating footage if selected.
What you’ll do
Review robotic-arm footage, annotate and categorize video according to project guidelines, and assess visual quality using photography principles. Document visual details and execution issues, submit clear observations, and collaborate asynchronously to clarify guidelines and improve annotation quality.
Requirements
Candidates need professional or demonstrated photography experience, strong visual judgment, and a solid understanding of image quality, composition, and visual details. They must be detail-oriented, able to follow repetitive guidelines consistently, communicate observations clearly, and work independently in a remote environment.
Listed skills
- written communication · Preferred
- Attention to detail · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Photography
- Visual Judgment
- Image Quality Assessment
- Composition
- Visual Analysis
- Video Annotation
- Data Labeling
- Attention To Detail
- Guideline Adherence
- Written Communication
- Visual Observation
- Quality Evaluation
- Robotics Footage Review
- Independent Work
- Asynchronous Collaboration
Job areas
- Creative & Media
- Data & Analytics
- Technology
- Art & Design