Deck Production Evaluator - Remote | Upto $120/hr
Budget / Salary$80–120
TypeContract
LocationUnited Kingdom
Posted2 hours ago
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: Document/deck production QA Evaluator
Type:Contract
Compensation:$80–$120/hour
Location:Remote
Role Responsibilities
Evaluate AI-generated artifacts against domain-specific quality rubrics.
Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
Provide clear, structured written feedback to improve AI model outputs.
Collaborate with AI research teams to enhance training data quality.
Work independently and asynchronously to meet deadlines while ensuring high-quality deliverables.
Qualifications
Must-Have
5+ years of relevant professional experience in Document/deck production QA.
Native or professional fluency in English.
Highly proficient in Microsoft Office and Google Workspace, especially Slides.
Preferred
Advanced degree (Master's or higher) from a reputable institution.
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:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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: Document/deck production QA Evaluator
Type:Contract
Compensation:$80–$120/hour
Location:Remote
Role Responsibilities
Evaluate AI-generated artifacts against domain-specific quality rubrics.
Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
Provide clear, structured written feedback to improve AI model outputs.
Collaborate with AI research teams to enhance training data quality.
Work independently and asynchronously to meet deadlines while ensuring high-quality deliverables.
Qualifications
Must-Have
5+ years of relevant professional experience in Document/deck production QA.
Native or professional fluency in English.
Highly proficient in Microsoft Office and Google Workspace, especially Slides.
Preferred
Advanced degree (Master's or higher) from a reputable institution.
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:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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