Senior Machine Learning Engineer (AI Training)

About The Role

What if your deep expertise in machine learning could directly influence how the next generation of AI systems reason, plan, and solve complex problems? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces — the structured, step-by-step thinking records that teach AI models how to navigate real-world tasks with precision and reliability.

This isn't prompt engineering or basic annotation. This is senior-level, intellectually demanding work that puts your architectural knowledge and ML intuition at the center of how tomorrow's AI thinks.

Fully remote. Flexible hours. Meaningful impact.

- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week

What You'll Do

- Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions step by step
- Break down sophisticated technical problems into clear, logical, well-documented reasoning chains
- Design and document data strategies that help LLMs navigate intricate real-world scenarios
- Review and provide expert feedback on traces to ensure optimal planning and decision-making quality
- Contribute directly to training data that improves how frontier AI models reason and act

Who You Are





- Experienced ML practitioner with significant hands-on expertise in machine learning, deep learning, or a closely related technical field
- Skilled at decomposing complex problems into structured, traceable reasoning steps
- Familiar with LLM evaluation methodologies, training pipelines, or model behavior analysis
- Detail-oriented and rigorous — you care about precision in both logic and documentation
- Self-directed and comfortable working independently in an asynchronous environment

Nice to Have

- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Top-tier Kaggle competition results (Grandmaster or Master level) — a strong signal of deep model understanding and performance optimization instincts
- Background in reinforcement learning, chain-of-thought prompting, or agent-based AI frameworks
- Experience contributing to LLM fine-tuning or RLHF workflows

Why Join Us

- Work alongside world-leading AI research teams and labs on frontier model development
- Fully remote and asynchronous — work on your schedule, from anywhere
- Freelance autonomy with intellectually stimulating, high-impact work
- Direct, meaningful contribution to how advanced AI systems learn to reason
- Potential for ongoing work and contract extension as recent projects launch

📌 Senior Machine Learning Engineer (Canada)
🏢 Alignerr
📍 Canada