First seen by our source: 20 days ago
Agent Operations Engineer - Fully Remote | Upto $500/task Task based
@ Mercor
Toronto, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- Experience building and operating LLM agents
- Proven track record improving agent reliability and performance
- Works independently and asynchronously
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-17
- Source record updated
- 2026-10-17
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
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.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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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