Log in Sign up free
Apply now

First seen by our source: 20 days ago

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

@ Mercor

View all jobs Website

Toronto, Ontario

$85/hr2+ years experience
Apply now
SIGNALS

Overview

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.

Pay:

$85 an hour

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

CursorClaude CodeCodexWindsurfGemini CLI
Source and dates

Source type not verified · manatal

Employer posting date
Not provided
First seen by our source
2026-10-18
Source record updated
2026-10-18

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.

Apply now

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: 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.

Similar jobs

  • 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
    On-siteFull Time

    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
    Full Time

    Urban Ridge Supplies

    6+ YOECandidates 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
    Full Time

    Vanguard Investments Canada Inc.

    6+ YOECandidates 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

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.