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First seen by our source: 20 days ago

Cloud Engineer - Fully Remote | Upto $85/hr

@ Mercor

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Toronto, Ontario

$85/hr2+ years experience
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SIGNALS

Overview

Mercor is hiring a DevOps, SRE or Cloud Engineer on a contract basis, fully remote, at $85 per hour. The work is evaluating and improving frontier AI coding agent outputs on infrastructure engineering tasks, including cloud platforms, Kubernetes, CI/CD and observability. Pay is $400 per accepted task.

Pay:

$85 an hour

Responsibilities:

  • Use AI coding agents to complete infrastructure engineering tasks
  • Review model-generated cloud, Kubernetes and CI/CD implementations
  • Identify bugs, edge cases and reliability issues in outputs
  • Compare outputs from multiple frontier models

Requirements summary:

  • 2+ years of DevOps, SRE or cloud engineering experience
  • Experience with AWS, Azure, GCP, Kubernetes, Terraform or CI/CD
  • Regular use of AI coding agents
  • Ability to evaluate model-generated infrastructure solutions

Tools & skills

AWSAzureGCPKubernetesTerraformCursorClaude CodeCodexWindsurfGemini CLI
Source and dates

Source type not verified · manatal

Employer posting date
Not provided
First seen by our source
2026-10-17
Source record updated
2026-10-17

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentSoftware development
Experience2+ years
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Mercor

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Full company description

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

LinkedIn followers
654,507
People associated on LinkedIn
5,250
Reported office locations
  • San Francisco, California 94105, US
Business categories
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Other recorded names
  • Mercor
Profile identifies a recruitment agency
Yes
Reported total investment
483,600,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

View all jobs Website

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

FieldValue
IndustrySoftware Development
Company size51-200 employees
HeadquartersSan Francisco, California
Organization typePrivately Held
Year founded2023
Open jobs on Jobsy1,626
LinkedInView page
Job description

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: DevOps / SRE / Cloud Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
  • Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
  • Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models to assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
  • Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated infrastructure and reliability engineering solutions.

Preferred

  • Experience supporting production-scale systems.

Compensation & Legal

  • $400 per accepted task
  • Compensation tied to accepted work.

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: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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