About The Role

- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.

- Contributors help evaluate and improve frontier AI coding models through structured technical assessments.

- The work focuses on realistic machine learning engineering workflows and model evaluation.

- Spots are limited and filling quickly on a first come, first serve basis.

What You'll Do

- 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 qualified engineering judgment to realistic ML engineering scenarios.

Time Commitment

- Sprint based project that runs in 12-24 hour stretches based on client requirement.

Compensation

- $400 per accepted task.

- Typical tasks take approximately 2–3 hours after ramp-up.

- Compensation is tied to accepted work.

Who Should Apply

- 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.





- Experience deploying ML systems to production is preferred.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

- You will be engaged as an independent contractor.

- This is a fully remote role that can be completed on your own schedule.

- Projects can be extended, shortened, or concluded early depending on needs and performance.

- Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

- Payments are weekly on Stripe or Wise based on services rendered.

- Please note: We are unable to support H1-B or STEM OPT candidates at this time.

?

Please consider applying even if you don't meet 100% of what’s outlined

?

Key Responsibilities

- ? Completing and evaluating tasks

- ? Reviewing model implementations

- ⚠️ Identifying issues

Key Strengths

- ? Machine learning engineering experience

- ?️ Production ML systems experience

- ?️ AI coding agents proficiency

- ? Model evaluation

- ? Production deployment experience

- ⚖️ Technical tradeoffs understanding

Why Mercor is partnering with Hatch on this role.

Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to than just your resume.

A Final Note: This is a role with Mercor not with Hatch.

📌 Machine Learning Engineer (Coding Agent Experience) @ Mercor (Australia)
🏢 Hatch
📍 Australia