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Image Evaluator Jobs (NOW HIRING)

About the Role 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 ...

Product evaluations, quality studies, new product initializations, product algorithm assessments, or develop image quality equations to quantify the expected quality of a system given various ...

Product evaluations, quality studies, new product initializations, product algorithm assessments, or develop image quality equations to quantify the expected quality of a system given various ...

Product evaluations, quality studies, new product initializations, product algorithm assessments, or develop image quality equations to quantify the expected quality of a system given various ...

Lead the development, evaluation, and application of hyperspectral image analysis methodologies. * Perform exploitation of hyperspectral, multispectral, and related geospatial datasets to identify ...

Lead the development, evaluation, and application of hyperspectral image analysis methodologies. * Perform exploitation of hyperspectral, multispectral, and related geospatial datasets to identify ...

Lead the development, evaluation, and application of hyperspectral image analysis methodologies. * Perform exploitation of hyperspectral, multispectral, and related geospatial datasets to identify ...

Image Analysis Engineer

Seattle, WA · On-site

$160K - $250K/yr

... evaluation of the ultrasound system This position is suited for you if you are familiar with: • Development of image performance parameters that result in maximizing the ultrasound system and probe ...

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Image Evaluator information

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$29.5K

$65.5K

$106.5K

How much do image evaluator jobs pay per year?

As of Sep 13, 2026, the average yearly pay for image evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Image Evaluator jobs?

For Image Evaluator jobs, the most frequently searched job titles are:

Infographic showing various Image Evaluator job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

AI Model Policy Trainer, Image Evaluation - Seattle Onsite

Seattle, WA • On-site

Reach Capital
Investment Clubs and Venture Capital Companies • 11 - 50 employees

Other

Posted 8 days ago


Job description

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 at scale. You 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.