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We're hiring AI evaluators to assess the accuracy and helpfulness of a new digital shopping assistant. This project focuses on understanding how well the system handles real-world e-commerce queries and where it falls short in its logic. Your analysis will directly feed into improving the underlying model and its response quality.
You will review real interaction traces between users and the shopping assistant within our custom platform. As you analyze these conversations, you will pinpoint specific failures, logical errors, or unhelpful product recommendations. From there, you will create structured rubrics and verifiers to consistently judge future response quality. This is an ongoing remote engagement requiring 20+ hours per week.
This opportunity is ideal for quality assurance specialists, AI data evaluators, and e-commerce professionals with a strong eye for detail. We welcome applicants with prior experience in prompt engineering, complex data annotation, or software testing. You should be comfortable analyzing text interactions deeply and building structured evaluation frameworks from scratch.
Review real user interaction traces with an AI shopping assistant
Identify logical failures, inaccuracies, or poor recommendations in the text
Create structured rubrics and verifiers to judge response quality
Commit to 20+ hours per week of evaluation work on our internal platform
Experience in data evaluation, quality assurance, or AI training
Strong analytical skills with the ability to spot subtle errors in text
Familiarity with e-commerce search and digital shopping experiences
Ability to commit to a sustained workload of 20+ hours per week
$50 per hour
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
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