2D Design Expert - Remote AI Prompt Work

What You'll Do6

• Write domain-specific prompts that mirror real 2D design tasks in tools such as GIMP, Inkscape, Krita, and LibreSprite.
• Evaluate LLM responses for technical accuracy, relevance, and alignment with professional 2D design standards.
• Flag errors or gaps in AI output using your hands-on experience with 2D graphics workflows.
• Work async with AI research teams to clarify project goals and deliver feedback on schedule.
• Contribute to reference material that helps models understand design concepts, file formats, and tool operations.
• Adjust to project needs as new assignments open across different 2D design areas.

Requirements5

• At least one year of professional experience with GIMP, Inkscape, Krita, LibreSprite, or another 2D graphics tool.
• Comfort working in an async, remote setting with AI research teams.
• Ability to turn design knowledge into clear prompts and evaluations for language models.
• Strong grasp of 2D design workflows, including vector or raster editing depending on your tool.
• Work authorization that fits Handshake AI projects. F-1 students with CPT or OPT may qualify, but STEM OPT does not apply. Check with your Designated School Official. If your school requires a CPT course, this program may not meet that requirement.

Who Should Apply

The ideal candidate has spent at least a year working in GIMP, Inkscape, Krita, LibreSprite, or a similar 2D graphics tool and can explain design choices in plain language. You should enjoy async remote work and be ready to write prompts or critique model output without a fixed hourly schedule. This role fits designers who want project-based AI work alongside their main job or studies. Candidates who lack direct tool experience, or who need a permanent full-time position with guaranteed hours, will find the fit weak. A common reason applications score low is listing only general design skills without naming specific 2D tools or showing how you used them. Another is missing the work authorization limits, such as assuming STEM OPT works when it does not.

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