Description review

Deck Production Evaluator - Remote | Upto $120/hr

mercor · United Kingdom · back to the listing

HR standards

78/100

solid

Title ↔ description

56/100

needs work

Reads as

Unclear

no confident match

What this role officially is

software tester — ESCO, the EU occupation classification

Software testers perform software tests. They may also plan and design them. They may also debug and repair software although this mainly corresponds to designers and developers. They ensure that applications function properly before delivering them to internal and external clients.

Also known as: application software tester, unit tester, application tester, software application tester, tester, module tester

How others title the same work

Large employers

  • Senior Software Quality Engineer Adobe
  • Distributed Systems Testing Software Engineer, Python / Go Canonical
  • Ubuntu Linux Kernel Test Engineer Canonical
  • Distributed Systems Testing Software Engineer, Python / Go Canonical Ltd.
  • Ubuntu Linux Kernel Test Engineer Canonical Ltd.

Startups

  • Software Engineer, QA & Test Automation AviaryAI

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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