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LLM Agent Engineer - Production - AI Trainer

Role overview

Qualifications

  • Experience shipping agents used by real users
  • Ability to assess agent performance improvements
  • Knowledge of long-running work and cloud sandboxes
  • Insight into internal assistant adoption within organizations

Responsibilities

  • Build and operate LLM agents in production environments
  • Evaluate agent performance and determine improvements after changes
  • Manage long-running agents, including scheduled jobs and cloud sandboxes
  • Analyze adoption patterns of internal assistants within organizations

Key facts

  • Remote from: Illinois (USA)
  • Part time
  • AI Operations (AI Ops) Engineer
  • English

Hard skills

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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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: Agent Engineer
Type: Contract
Compensation: $100–$500/hour
Location: Remote

Role Responsibilities

  • Build and operate LLM agents in production environments.
  • Evaluate agent performance and determine improvements after changes.
  • Manage long-running agents, including scheduled jobs and cloud sandboxes.
  • Analyze adoption patterns of internal assistants within organizations.
  • Focus on internal monoagents, shared memory, and reusable skills.
  • Ensure visibility into agent actions and associated costs.

Qualifications

Must-Have

  • Experience shipping agents used by real users.
  • Ability to assess agent performance improvements.
  • Knowledge of long-running work and cloud sandboxes.
  • Insight into internal assistant adoption within organizations.

Interview Process

  • Initial short conversational AI interview; no coding or take-home tasks.
  • Live 30-minute conversation with our team.
  • Compensation of $100 to $500 for the conversation, based on experience.

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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



#hiringmercor

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