The work
You will use GIMP for practical image editing and graphic design tasks that support AI training. You will show how creative work is done, explain your process, and review completed work for quality.
The role combines hands-on editing with clear documentation and feedback. Your work may help AI systems better understand image-editing workflows.
- Complete image editing, photo retouching, and graphic design tasks in GIMP.
- Work with layers, backgrounds, colors, and other image manipulation tools.
- Record your screen while demonstrating real-world GIMP workflows.
- Explain and document each editing step clearly.
- Review image-editing tasks and give feedback relevant to improving AI systems.
- Check completed work for accuracy and quality.
What it pays and takes
This is a remote contractor opportunity with flexible scheduling. The role is open to candidates in the listed countries, including the United States, Canada, the United Kingdom, India, Brazil, and other locations across Europe, Asia, Africa, the Middle East, and the Americas.
- Pay: $21 to $70 per hour.
- Work type: Part-time contract work with flexible scheduling.
- Language: Fluent English.
- Experience level: Entry level.
- Strong hands-on experience using GIMP for professional image editing or graphic design.
- Access to GIMP and comfort with recording and sharing your screen.
- Knowledge of image manipulation, photo retouching, and layer management.
- Ability to explain technical workflows clearly, with strong attention to detail and communication skills.
- A background in graphic design, digital art, or image editing is helpful.
- Experience documenting creative workflows or reviewing AI-generated images is helpful.
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 learn from examples, including image reviews, written feedback, and demonstrations of creative tasks. People with strong practical skills are valuable because they can show accurate workflows and judge whether an AI system's output meets the task requirements.