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First seen by our source: 20 days ago

ML Engineer - AI Coding Expert

@ Mercor

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Toronto, Ontario

$85/hr2+ years experience
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SIGNALS

Overview

Mercor is hiring a contract ML Engineer at $85/hour to use frontier AI coding agents to complete and evaluate machine learning and AI engineering tasks. The work is fully remote, paid per accepted task at $400 each, and requires at least 2 years of professional ML engineering experience.

Pay:

$85 an hour

Responsibilities:

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

Requirements summary:

  • 2+ years of professional ML engineering experience
  • Experience building 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.

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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: 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.
  • 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.

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