ML Engineer (Coding Agent Experience)
$85/hr
**About the Role**
\- our client 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 professional 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.
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