The Work
You will support image-based AI training by comparing human-captured photographs with AI-generated versions. You will identify meaningful differences, inconsistencies, and visual artifacts, then explain your findings in clear written feedback.
The work includes submitting original photographs for controlled evaluation assignments, protecting the privacy of submitted content, and discussing technical issues with other independent experts working remotely.
- Upload original photographs for controlled image evaluation assignments.
- Compare photographs with AI-generated images.
- Identify issues involving lighting, perspective, anatomy, rendering, and other visual details.
- Use image editing knowledge to describe visual problems precisely and constructively.
- Provide feedback that supports ongoing improvement of AI models.
- Collaborate remotely on technical challenges and project goals.
What It Pays and Takes
The pay rate is not provided in the listing. The role is marked entry level for AI work, and prior AI experience is not required when you can demonstrate strong photography or related visual arts knowledge.
- Work arrangement: Remote, part-time contract work.
- Location: Open to candidates in the United States.
- Language: Fluent written English.
- Knowledge: Professional or advanced knowledge of digital photography, image editing, graphic design, or a related visual arts field.
- Skills: Strong written communication and the ability to describe complex visual details clearly and accurately.
- Attention to detail: Ability to notice subtle visual and technical differences.
- Tools: Familiarity with Photoshop, Lightroom, GIMP, or similar image editing tools is valuable.
- Work style: Constructive and collaborative when discussing findings and technical issues.
- Helpful background: Experience with AI image generation, image comparison, or similar evaluation work.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that generate and understand images, text, and other content. People review examples, spot errors, and explain what better results should look like, using skills such as photography and visual analysis to help improve these systems.