Reliability Expert - Fully Remote | Upto $120/hr
Mercor
full-remoteseniorcontractbackendother San Francisco, CA 104 days ago via LinkedIn
80,000 - 144,000 USD/daily
See how well this job matches your profile
Sign up to get an AI match score and generate a tailored application in seconds.
Get your match scoreTags
Site Reliability Engineering (SRE)Incident ManagementReliability EngineeringGoogle SlidesPowerPointMicrosoft OfficeQuality RubricsTechnical WritingAsynchronous WorkAI Artifact Evaluation
About the role
Role Overview
Reliability Expert (Incident Management / Reliability / SRE Evaluator) — Fully Remote (Contract)
You will evaluate AI-generated artifacts using domain-specific quality rubrics, providing structured written feedback to improve future outputs.
Responsibilities
- Evaluate AI-generated artifacts against incident management, reliability, and SRE quality rubrics
- Identify factual, aesthetic, and presentation errors in:
- documents
- spreadsheets
- slide decks
- Provide clear, structured written feedback to improve AI model outputs
- Apply deep subject-matter expertise in incident management, reliability, and SRE
- Work independently and asynchronously to meet deadlines and maintain assessment quality
Requirements
- 5+ years of relevant professional experience in Incident Management, Reliability, or SRE
- Native or professional fluency in English
- Highly proficient with Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint)
Preferred
- Advanced degree (Master’s or higher) from a reputable institution
Contract & Location
- Remote
- Compensation: $80–$120/hour (listed as up to $120/hr)
Application Process
- Upload resume
- Complete an AI interview
- Submit the form (estimated 20–30 minutes total)
About Mercor
Mercor connects elite creative and technical talent with leading AI research labs. The company is headquartered in San Francisco and is supported by notable investors. It provides talent matching and assessment opportunities for contract roles in the AI research ecosystem.
Scraped 6/11/2026