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Première détection par notre source: il y a 21 jours

DevOps Engineer - AI Model Evaluator

@ Mercor

Toutes ses offres Site Web

Toronto, Ontario

85 $/h2+ ans d’expérience
Postuler
SIGNAUX

En bref

Mercor is hiring a remote contract DevOps, SRE or Cloud Engineer to evaluate frontier AI coding agents on infrastructure engineering tasks. The work covers reviewing model-generated cloud, Kubernetes, CI/CD and observability implementations, finding bugs and failure modes, and comparing models. Pay is $85/hour, or $400 per accepted task, with compensation tied to accepted work.

Salaire :

85 $ de l’heure

Responsabilités :

  • Review AI-generated cloud and Kubernetes infrastructure implementations
  • Identify bugs, edge cases and reliability issues
  • Compare outputs from multiple frontier models
  • Apply engineering judgment to infrastructure scenarios
  • Meet sprint-based project deadlines

Résumé des exigences :

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

Outils et compétences

KubernetesTerraformCursorClaude CodeCodexWindsurfGemini CLI
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-17
Mise à jour du dossier source
2026-10-17

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience2 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Mercor

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

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

Description complète de l’entreprise

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

Abonnés LinkedIn
654 507
Personnes associées sur LinkedIn
5 250
Bureaux déclarés
  • San Francisco, California 94105, US
Catégories d’activité
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Autres noms enregistrés
  • Mercor
Le profil indique une agence de recrutement
Oui
Investissement total déclaré
483 600 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Toutes ses offres Site Web

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

ChampValeur
SecteurSoftware Development
Taille51-200 employees
Siège socialSan Francisco, California
Type d’organisationPrivately Held
Fondée en2023
Offres sur Jobsy1 626
LinkedInVoir la page
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.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.
  • Work independently and asynchronously to meet sprint-based project deadlines.

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 is 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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