Product Launch, Experiment Readiness Evaluator

Job not on LinkedIn

🕒 August 20

🇺🇸 United States – Remote

💵 $80 - $120 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mercor

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔥 Funding within the last year

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Review and assess AI-generated work products, including documents, spreadsheets, and slide decks • Apply deep subject-matter expertise to grade outputs • Evaluate AI-generated artifacts against domain-specific quality rubrics • Identify factual, aesthetic, and presentation errors • Provide clear, structured written feedback • Work on projects focused on training and enhancing AI systems

🎯 Requirements

• 5+ years of relevant professional experience in Product launch / experiment readiness • Native or professional fluency in English • Highly proficient in Microsoft Office and Google Workspace, especially Google Slides / PowerPoint • Advanced degree (Master's or higher) from a reputable institution (preferred)

🏖️ Benefits

• Fully remote role • Flexible schedule; work can be completed on your own schedule • Weekly payments via Stripe or Wise based on services rendered • Competitive pay • Opportunity to collaborate with leading researchers • Opportunity to help shape the next generation of AI systems • Referral bonus of up to $480 per successful referral