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E-commerce Annotation Specialist

Role overview

Qualifications

  • Rule discipline for consistent taxonomy application
  • Comfort reading structured traces to understand agent actions
  • Restraint under ambiguity to use the unknown label appropriately
  • Clear, concise written English for effective communication

Responsibilities

  • Evaluate full shopper and agent conversations, including tool calls and their outcomes
  • Identify the specific turn that received a thumbs-down from the shopper
  • Classify the issue with one primary tag and a specific secondary tag
  • Write concise comments explaining the shopper's intent, the agent's actions, and the rationale for the tags

Key facts

Hard skills

Other skills

  • Packaging And Labeling

About the company

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Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Shopify Shop App Agent Annotator
Type: Contract
Compensation: $40–$50/hour
Location: Remote
Commitment: ~5 hours/week

Role Responsibilities

  • Evaluate full shopper and agent conversations, including tool calls and their outcomes.
  • Identify the specific turn that received a thumbs-down from the shopper.
  • Classify the issue with one primary tag and a specific secondary tag.
  • Write concise comments explaining the shopper's intent, the agent's actions, and the rationale for the tags.
  • Work independently and asynchronously to maintain consistency across evaluations.

Qualifications

Must-Have

  • Rule discipline for consistent taxonomy application.
  • Comfort reading structured traces to understand agent actions.
  • Restraint under ambiguity to use the unknown label appropriately.
  • Clear, concise written English for effective communication.

Preferred

  • Consumer e-commerce fluency in orders, tracking, and returns.
  • Experience in annotation, labeling, or model-evaluation work.
  • Familiarity with the Shop app or other AI shopping assistants.
  • Knowledge of customer-support operations and escalation paths.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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