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Mercor • Montreal, Quebec, Canada
Role & seniority: Generalist (contract)
Stack/tools: Not specified; role centers on QA/data annotation, rubric-based evaluation, and feedback workflows
Review, evaluate, and annotate AI outputs with high detail and consistency
Follow complex, nuanced guidelines and provide structured feedback to improve AI training
Maintain accuracy across high-volume, repetitive tasks and flag unclear or ambiguous cases
Exceptionally detail-oriented with a quality-obsessed mindset
Prior experience as a CB/reviewer/rater in human data or AI training pipelines
Ability to follow nuanced instructions precisely; strong written communication
High reliability, consistency, and ability to work independently on long task batches
Experience with large-scale AI data annotation/evaluation programs
Background in QA, operations, trust & safety, or structured review
Familiarity with multi-step rubric-based evaluations and calibrated feedback
Location & work type: Location not specified; Contract position
Additional notes: Compensation $30–$40/hour; AI interview-based application process; role operates withinMercor’s AI data review workflow
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.
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