Photographer
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Micro1Multimodal & VisionHigh demandCloses Nov 11

Photographer

Remote · US only$21–$35 per hourContract / Freelance

About the Role

micro1 is engaging Photographers to support a customer’s initiative focused on evaluating and enhancing visual data quality. 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. This engagement focuses on detailed evaluation and comparison of original photographs against AI-generated images, requiring both creative insight and technical precision.


Responsibilities & Tasks

  • Upload your own original photographic content through a secure digital platform.
  • Systematically compare your images with AI-generated counterparts, noting differences and identifying visual flaws or artifacts.
  • Utilize your technical vocabulary to document findings regarding image quality, lighting, composition, perspective, texture, and potential anomalies.
  • Provide clear, concise written feedback on detected issues, ensuring accuracy in your descriptions.
  • Participate in iterative review cycles, revisiting images and adjusting feedback based on evolving project guidelines.
  • Collaborate through written and verbal channels for clarification, discussion, and knowledge sharing as needed.
  • Maintain profile information to support project tracking and communication.

Qualifications & Requirements

Ideally a background in video and music editing, photography, UX/UI or web design, filmmaking or audiovisual production.

  • Demonstrated background in photography, digital imaging, photo editing, graphic design, or a related creative discipline.
  • Exceptional eye for detail and a meticulous, methodical working style.
  • Strong written English skills, with the ability to communicate findings clearly, free from spelling or grammar errors.
  • Experience with image evaluation, annotation, or quality assurance for digital or AI-driven projects is preferred.

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