The work
You will help evaluate how AI systems handle real-world 2D digital art and game asset workflows. The work involves creating realistic design tasks, reviewing AI-generated responses, and explaining your judgments in structured written feedback.
- Create tasks involving sprites, character creation, frame-by-frame animation, palettes, color management, tilesets, textures, and asset export.
- Include style guides and project briefs in tasks when they are part of the design requirements.
- Review AI-generated responses for quality, accuracy, and alignment with the requested 2D design workflow.
- Explain design decisions clearly so the feedback can help improve AI model performance.
- Apply professional standards from game development, animation, digital art, or related production work.
What it pays and takes
This is a remote, project-based contractor role for professionals with production experience in 2D art or animation. The work is intended for people who can work independently in an asynchronous setting.
- Pay: up to $125 per hour.
- Schedule: 20+ hours per week with no set schedule.
- Location: Open to candidates in the United States.
- Language: Fluent in English.
- Education: Completed bachelor's degree or higher.
- Experience: At least two years of professional experience using LibreSprite.
- Professional background: 2D artist or animator experience in a game studio, design agency, animation studio, indie development setting, or freelance practice.
- Portfolio: Published or shipped 2D work.
- Skills: Strong written communication, close attention to detail, and the ability to explain complex 2D design concepts.
- Helpful tools and skills: Aseprite, Piskel, GIMP, Krita, Inkscape, Photoshop, illustration, user interface design, or motion graphics.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
OpenTrain is a platform where people find AI-training and data-labeling projects, build a profile, and apply for work. AI training is the human work behind systems that learn from examples, including reviewing model outputs and giving written feedback; experienced professionals are paid for applying real field knowledge and careful judgment.