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mercor

mercor

Nonprofit Evaluator - Program Specialist

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Fully RemoteEngineeringUnited States

Salary

$960–$1k

Posted

2h ago

Source

himalayas

AI EvaluationNonprofit Program EvaluationQuality AssurancePhilanthropy AssessmentContent Evaluation

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: Nonprofit / philanthropy / community programs 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 outputs.
  • Provide clear, structured written feedback to improve AI-generated work products.
  • Collaborate with teams to ensure accuracy and rigor in AI-generated documents, spreadsheets, and slide decks.
  • Work independently and asynchronously to meet deadlines and enhance domain quality.

Qualifications

Must-Have

  • 5+ years of relevant professional experience in Nonprofit / philanthropy / community programs.
  • 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: 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.

Salary in context

This salary range is below the typical band for remote Engineering roles — comparable roles on RemoteTide top out closer to $150k.

Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

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