H
On-site
AI Model Policy Trainer, Image Evaluation - Seattle Onsite
Handshake
Overview
Evaluate generated images against their prompts for adherence, composition, realism, style consistency, and technical defects; maintain accuracy and consistency across repeated evaluations Compare images side by side and select the stronger one with a clear, evidence-based rationale
Benefits, from the posting itself
Hover a row for the exact line it came from. Nothing inferred.
medical, dental, and vision insurancereceipt ⟳
“Eligible employees can enroll in medical coverage, including prescription and mental health benefits, dental and vision insurance”
mental health benefitsreceipt ⟳
“including prescription and mental health benefits, dental and vision insurance”
pretax commuter benefitsreceipt ⟳
“healthcare and dependent care flexible spending accounts, and pretax commuter benefits.”
401(k) with employer matchreceipt ⟳
“A 401(k) retirement plan with an employer match is available to eligible participants.”
PTO accrues from first dayreceipt ⟳
“PTO accrues from the first day of the assignment at one hour per 40 hours worked, with no waiting period to use accrued PTO.”
Key Responsibilities
- Evaluate generated images against their prompts for adherence, composition, realism, style consistency, and technical defects; maintain accuracy and consistency across repeated evaluations
- Compare images side by side and select the stronger one with a clear, evidence-based rationale
- Classify images against customer content policies covering sexual content, violence, hate symbols, real-person likeness, intellectual property, and depictions of minors
- Select the most defensible classification when an image is genuinely ambiguous, and write concise rationales that cite rubric language and specific visual details
- Distinguish "I do not like this" from "this fails the prompt" from "this violates policy," and keep those judgments separate while applying customer policy consistently
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