You will create digital artwork and explain your creative process for an AI training project. The work combines hands-on illustration with clear instructions that help AI systems understand digital art and illustration.
- Create and edit digital illustrations and artwork in Krita.
- Produce digital paintings, character designs, concept art, 2D animations, and other visual assets.
- Use brushes, layers, masks, and color management tools for advanced digital art tasks.
- Refine artwork and explain creative workflows step by step.
- Write clear instructions and detailed prompts for digital art workflows.
- Record your screen while completing relevant tasks.
What it pays and takes
This is a remote, part-time contractor opportunity. It is open to candidates in the countries specified for the role across the Americas, Europe, Africa, Asia, and the Middle East.
- Pay: $21 to $70 per hour.
- Language: English at B2 level or higher.
- Strong, hands-on experience with Krita is required.
- Practical experience in digital painting, illustration, or concept art is required.
- You must understand brushes, layers, masks, and digital art techniques.
- You must be able to create high-quality digital artwork and visual assets.
- You need access to Krita and the ability to record your screen.
- A portfolio showing digital illustration or concept art is helpful.
- Background in graphic design, character design, 2D animation, game art, Fine Arts, or Graphic Design is helpful.
- Experience with human data projects, data annotation, RLHF, or AI model evaluation is relevant.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 5 screening questions.
About AI training work
AI training is the human work behind systems that learn from examples, including artwork, written instructions, and other labeled or reviewed data. People with strong creative and technical skills help make those examples accurate and useful.