AI Evaluators: Assessing A Shopping Assistant
- Salary
- $50 per hour
- Level
- Mid
- Work type
- Remote · US only
Not stated in the posting: visa.
Open. First seen 2 October 2026.
About the role
What We're Researching
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.
How It Works
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.
Who This Is For
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.
What You'll Do
- 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
Who Should Apply
- 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
Compensation
$50 per hour
Ready to participate?
Start your paid interview now
About Terac
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.
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Learn more at terac.com or on YouTube at @jointerac.
What this role asks for
Particular to this role
Prompt Engineering
Rare in Terac's other 24 open postings.
97% of this description is written for the role. The rest is Terac's standard text, folded away below.
Compared with Terac's other open jobs.
The team: Participant Recruitment HIRES STEADILY
This role is one of 24 open in Participant Recruitment. 15 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (3 of 24), React (3 of 24), Prompt Engineering (2 of 24), Test Automation (2 of 24)
OTHER ROLES ON THIS TEAM
- Technical Professionals: Evaluate Technical Presentation Decks posted Oct 24
- Business Professionals: Presentation Slide Deck Evaluation for AI Training posted Oct 23
- Pharmacists: Paid Expert Review for Clinical AI Benchmarks posted Oct 23
- Radiology Residents: Medical Image Evaluation for AI Benchmarks posted Oct 23
- Radiology Residents: Medical Image Evaluation for AI Benchmarks posted Oct 22
- Radiologists: Medical Image Review for AI Benchmarks posted Oct 22
- Radiologists: Medical Image Review for AI Benchmarks posted Oct 22
- Data Annotators: Paid Tasks for AI Model Training posted Oct 19
- Fintech Engineering Leaders: Interview on Card Issuing Platforms posted Oct 12
- IT and Business Managers: Paid Interview on Technology Operations posted Oct 8
- Healthcare Data Governance Leaders: Interview on AI Access and Compliance posted Oct 3
- UX and Product Leaders: Customer Research Workflows posted Oct 2
- Software Engineers: Paid Code Review for AI Agent Evaluation posted Oct 2
- South Asian Software Engineers: Coding Tasks for AI Evaluation posted Oct 1
- LATAM Software Engineers: Coding Tasks for AI Evaluation posted Oct 1
- Software Engineers: Paid Interview on AI Evaluation Tasks posted Sep 19
- Transaction Finance Professionals: AI Output Annotation and Ranking posted Sep 18
- Management Consultants: Paid AI Output Evaluation posted Sep 18
- Technical Recruiters: Interview on Full-Cycle Hiring Workflows posted Sep 7
- Machine Learning Engineers: Scenario Building for Reinforcement Learning posted Sep 3
- Professionals: Designing Challenging AI Prompts posted Aug 25
- Technical Accounting And FP&A Experts: AI Training Scenarios posted Aug 19
- Advanced STEM Experts (PhD Level): Scientific Reasoning For AI Training posted Aug 6
From the team and dates on Terac's own job board.
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