Postuler

Première détection par notre source: il y a 22 jours

Agent Operations Engineer - Fully Remote | Upto $500/task Task based

@ Mercor

Toronto, Ontario

Postuler
SIGNAUX

En bref

Mercor is hiring a remote contract Agent Engineer to build and operate LLM agents in production. The work covers agent reliability, long-running processes and internal agent systems, paid at $100 to $500 per task.

Responsabilités :

  • Build and operate LLM agents in production
  • Ensure agent reliability and evaluate performance improvements
  • Manage scheduled jobs and cloud sandboxes
  • Develop internal multi-agents and shared company memory systems
  • Enhance agent visibility and cost tracking

Résumé des exigences :

  • Experience building and operating LLM agents
  • Proven track record improving agent reliability and performance
  • Works independently and asynchronously

Outils et compétences

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

DomaineDéveloppement logiciel
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.

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.

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: Agent Engineer
Type: Contract
Compensation: $100–$500 per task
Location: Remote

Role Responsibilities

  • Build and operate LLM agents in production environments.
  • Ensure agent reliability and evaluate performance improvements.
  • Manage long-running processes like scheduled jobs and cloud sandboxes.
  • Develop internal monoagents and shared company memory systems.
  • Enhance agent visibility and cost tracking for organizational use.
  • Work independently and asynchronously to meet project goals.

Qualifications

Must-Have

  • Experience in building and operating LLM agents.
  • Proven track record of improving agent reliability and performance.

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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