About The Position

We are 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.

Requirements

  • 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

Nice To Haves

  • Prior experience in prompt engineering
  • Complex data annotation
  • Software testing

Responsibilities

  • 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

Benefits

  • Paid interview
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