- Experience
- 2+ yrs
- Salary
- USD 85 – USD 85 / hour
- Openings
- 1
- Posted
- 3 days ago
- Work mode
- Work from home
- Eligibility
- Professionals with at least 2 years of machine learning engineering experience, especially those who regularly use AI coding agents and have worked on production ML or AI systems, can apply.
- Resume
- Required to apply
Job description
About the Role
Mercor works with top-tier creative and technical professionals and places them with leading AI research organizations. The company is based in San Francisco and is backed by investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position Overview
This opening is for an ML Engineer with strong experience working with coding agents. The work is remote and contract-based, and the advertised compensation is $85 per hour.
What You Will Do
- Use advanced AI coding assistants to solve and assess challenging machine learning and AI engineering assignments.
- Inspect AI-generated code for areas such as model training, inference infrastructure, MLOps workflows, and LLM-based products.
- Spot defects, unusual cases, performance bottlenecks, and other ways AI models may fail.
- Evaluate results produced by multiple frontier models and compare their relative strengths and limitations.
- Apply sound engineering judgment to practical machine learning situations.
Required Background
- At least 2 years of hands-on professional experience in machine learning engineering.
- Experience building production ML systems, deployment infrastructure, large language model applications, or AI-driven products.
- Frequent use of AI coding tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar assistants.
- Capability to review model-generated ML solutions and weigh technical tradeoffs.
Preferred Experience
- Experience shipping ML systems into production environments.
Compensation and Work Terms
Pay is listed as $85 per hour. In addition, compensation is tied to approved work, with $400 paid for each accepted task.
Application Steps
The application is expected to take about 20 to 30 minutes and includes three steps: uploading a resume, completing an AI interview based on the resume, and submitting the form.
Support
If applicants need help, support is available by email. Additional platform and interview details are available through the provided documentation resource.
Additional Notes
The hiring team reviews applications every day, and candidates must complete the AI interview and all application steps to be considered.