Connexion Inscription gratuite
Postuler

Première détection par notre source: il y a 23 jours

AI/ML Engineer - Fully Remote | Upto $85/hr

@ Mercor

Toutes ses offres Site Web

Toronto, Ontario

85 $/h2+ ans d’expérience
Postuler
SIGNAUX

En bref

Mercor is hiring a contract ML Engineer for remote work at $85/hour, reviewing and evaluating frontier AI coding agents on machine learning and AI engineering tasks. The work covers model training, inference systems, MLOps and LLM applications, with pay tied to accepted tasks at $400 each. Two years of professional ML engineering experience and regular use of AI coding agents are required.

Salaire :

85 $ de l’heure

Responsabilités :

  • Use AI coding agents to complete ML and AI engineering tasks
  • Review model-generated training, inference and MLOps implementations
  • Identify bugs, edge cases and performance issues in AI models
  • Compare outputs from multiple frontier models

Résumé des exigences :

  • 2+ years of professional ML engineering experience
  • Experience with production ML systems or LLM applications
  • Regular use of AI coding agents such as Cursor or Claude Code
  • Ability to evaluate model-generated ML implementations

Outils et compétences

CursorClaude CodeCodexWindsurfGemini CLI
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-18
Mise à jour du dossier source
2026-10-18

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

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
  • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
  • Identify bugs, edge cases, performance issues, and failure modes in AI models.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic ML engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional machine learning engineering experience.
  • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated machine learning implementations and technical tradeoffs.

Preferred

  • Experience deploying ML systems to production.

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.

Emplois semblables

  • AI/ML Engineer

    Toronto, ON

    Conviva

    Candidates need a strong foundation in machine learning, deep learning, probability, statistics, and algorithms, plus hands-on model development experience from research or industry. A PhD in a quantitative field is preferred, along with programming skills in Python or C++ and experience with PyTorch or TensorFlow.

    PyTorch, TensorFlow, Python, C++, Spark, Flink

  • AI/ML Engineer

    Toronto, ON
    Sur placeTemps plein

    General Magic

    Candidates need a strong understanding of how LLMs work and experience building LLM-powered systems in production. They also need solid backend skills, prompt and tool-calling experience, and comfort using AI coding tools.

    Claude Code, Codex

  • AI/ML Engineer

    Toronto, ON
    Temps plein

    Urban Ridge Supplies

    6+ ansCandidates need 6+ years in machine learning, data or software engineering, including 3+ years building AWS data pipelines. Strong Python, production AI deployment experience, and hands-on work with generative AI and knowledge graphs are required; a Bachelor's degree is required and a Master's is preferred.

    AWS SageMaker, AWS ECS, AWS Lambda, AWS S3, AWS EventBridge, AWS Step Functions

  • AI/ML Engineer

    Toronto, ON
    Temps plein

    Vanguard Investments Canada Inc.

    6+ ansCandidates need a technical degree, 6+ years in machine learning, data or software engineering, and 3+ years building AWS data pipelines. Strong Python, production AWS and MLOps experience, and Generative AI or knowledge graph skills are essential.

    AWS SageMaker, AWS ECS, AWS Lambda, AWS S3, AWS EventBridge, AWS Step Functions

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.