🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Mercor • Montreal, Quebec, Canada
Role & seniority: Generalist (contract)
Stack/tools: No specific tech stack listed; experience in AI data annotation, evaluation, QA, and structured review workflows
Review, evaluate, and annotate AI outputs with high attention to detail
Follow nuanced guidelines precisely and provide clear, structured feedback to improve training quality
Identify subtle errors/edge cases, flag unclear instructions, and maintain high accuracy over repetitive, high-volume tasks
Exceptionally detail-oriented with a quality-obsessed mindset
Prior experience as a reviewer/rater in human data or AI training pipelines
Ability to follow nuanced instructions without deviation
Strong written communication, reasoning, reliability, and focus for long task batches
Experience with large-scale AI data annotation/evaluation programs
Background in QA, operations, trust & safety, or structured reviews
Familiarity with multi-step rubric-based evaluations and calibrated feedback
Location & work type: San Francisco-based (headquartered); Contract role; compensation $30–$40/hour
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: Generalist
Type: Contract
Compensation: $30–$40/hour
Role Responsibilities
Review, evaluate, and annotate AI outputs with extreme attention to detail. Follow complex guidelines precisely and apply them consistently across tasks. Identify subtle errors, edge cases, and quality issues others might miss. Provide clear, structured feedback to improve downstream AI training quality. Maintain high accuracy across repetitive, high-volume workflows. Flag unclear instructions or ambiguous cases proactively.
Qualifications
Must-Have
Exceptionally detail-oriented and quality-obsessed mindset. Prior experience as a CB / reviewer / rater in human data or AI training pipelines. Proven ability to follow nuanced instructions without deviation. Strong written communication and reasoning skills. High reliability, consistency, and comfort with repetitive precision work. Ability to work independently and maintain focus over long task batches.
Preferred
Experience with large-scale AI data annotation or evaluation programs. Background in QA, operations, trust & safety, or structured review work. Familiarity with multi-step rubric-based evaluations. Comfort giving calibrated feedback aligned with strict quality bars.
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/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.
,