AI Engineer - AI Trainer

Mercor, Inc.

New York, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 155K

Job location

Remote

New York, United States of America

Tech stack

Artificial Intelligence

Automated Storage and Retrieval Systems

Job description

Design and implement tool-use runtimes and multi-step workflows for agent systems.
Evaluate and improve retrieval systems that agents utilize for enhanced performance.
Collaborate on both frontier-lab and applied-product projects to innovate AI solutions.
Work independently and asynchronously to meet project goals with flexible hours.

Requirements

Experience in building in-house agent frameworks or cloud-agents runtime.
Expertise in eval infrastructure for agents, including offline and online systems.
Proficiency with tool-use, MCP, or orchestration layers.
Knowledge of memory, retrieval, or state-passing primitives for agents.

Interview Process

20 mins async AI screen covering agent architectures and eval practices.
Live follow-up for top signals.

About the company

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., © 2026 Careerjet All rights reserved