AI Model Policy Trainer, Image Evaluation - Seattle Onsite
Listed on 2026-09-06
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IT/Tech
Data Annotation/ AI Labeling, AI Evaluation -
Creative Arts/Media
Data Annotation/ AI Labeling, AI Evaluation
AI Image Evaluator
As an AI Image Evaluator, you will help image generation models learn two things at once: what a good image is, and what an acceptable image is.
You will look at prompts and the images a model produced from them, then answer questions like:
Did the image do what the prompt asked? Is it well made, or does it have the hands, lighting, text, and anatomy problems that give generated images away? Which of two images is better, and why? Does the image violate the customer's content policy, and if so, which category and how severely? Does it depict a real person, a protected brand, or a minor in a way the policy does not allow?
The interesting cases are the close ones. Two images that look nearly identical until you notice one has a logo in the background. A stylized nude that is fine as figure study and not fine with one change of pose. A prompt that asked for "a realistic photo of a senator" and a model that complied. A beautiful image that ignored half the prompt, next to an ugly one that nailed it.
We are looking for people who already see images critically, whether that came from photography, illustration, design, years inside Midjourney and Stable Diffusion, or moderating visual content do not need all of these. You need one deep, and the judgment to learn the rest.
This is not rote annotation. Rubrics cannot anticipate every image, and good evaluators do not apply them mechanically. You will balance the rubric's text and intent with customer expectations, precedent, and team calibration, and you will explain your reasoning clearly enough that it can train a model.
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