Image Editing QA Reviewer

Review edited images used to train AI image editing models. Compare each edit with the original image, the written prompt, and its edit category.

• Check whether the requested change was made accurately and unrelated details stayed unchanged.
• Assess realism and technical quality, including lighting, shadows, reflections, perspective, edges, color, resolution, and visual artifacts.
• Check that identity, pose, background, and other areas not mentioned in the prompt remain unchanged.
• Score each edit as approved, minor fix, or rework using a quality rubric.
• Write clear annotations and correction guidance, flag unclear prompts, identify recurring errors, and contribute to guideline updates and calibration.
• Maintain consistent scoring while meeting daily accuracy and throughput targets.

• Pay: Per label; the amount is not specified.
• Time: 20 or more hours per week.
• Location: Open worldwide.
• Skills: Strong written English comprehension, clear written feedback, and careful visual judgment, including when prompts are ambiguous.
• Tools and setup: Working knowledge of Adobe Photoshop, plus a desktop or laptop with a color-accurate display and reliable internet.
• Work style: Ability to work independently and collaborate with annotators and project leads.
• Helpful background: Experience reviewing or managing retouchers or designers, studio work in fashion, beauty, consumer goods, e-commerce, or retail, or data annotation and rubric-based QA. Familiarity with Photoshop Generative Fill, Firefly, Midjourney, or Stable Diffusion is also helpful.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people can find AI training work, build a profile, and apply to projects.

AI training uses examples prepared and reviewed by people to help build artificial intelligence. Image reviewers assess whether edits follow instructions and meet visual quality standards.