# Machine Learning Engineer - Fully Remote | Upto $85/hr at…

> Source: https://confidential.careers/job-detail/machine-learning-engineer-fully-remote-upto-85-hr-obsidian-winnipeg

# Machine Learning Engineer - Fully Remote | Upto $85/hr

Obsidian 

** Winnipeg, Canada ** Full Time ** Human Resources Jobs ** Canada ** New

[Apply Now](https://confidential.careers/go/15421242) ** Save 

## Job Description

### 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 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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Posted August 23, 2026
