Senior Machine Learning Engineer

This is a fully remote, flexible contract role built for senior-level engineers who want to work at the frontier of AI development without the constraints of a full-time position.

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

What You'll Do

* Author complex, high-fidelity reasoning traces that document how LLMs should approach sophisticated technical tasks — including planning, tool use, and multi-step decision making * Design and implement data strategies that help AI models navigate intricate, real-world scenarios with greater reliability * Review and evaluate reasoning traces for logical consistency, structural quality, and completeness * Decompose advanced ML problems into clear, well-documented reasoning steps that serve as model training examples * Apply your knowledge of LLM architectures and training methodologies to ensure traces meet rigorous quality standards

Who You Are

* Experienced machine learning engineer or researcher with deep knowledge of model reasoning, architecture, and training * Skilled at breaking down complex technical problems into logical, clearly documented steps * Familiar with advanced LLM evaluation techniques and how model behavior is shaped by training data * Detail-oriented and systematic — you hold yourself to high standards of precision and clarity * Self-directed and comfortable working asynchronously in a remote 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) demonstrating advanced model performance and feature engineering expertise * Hands-on experience with RLHF, chain-of-thought prompting, or other reasoning-focused training methodologies * Background in AI safety, interpretability, or alignment research

Why Join Us

* Work directly with world-leading AI research teams on problems that matter * Fully remote and flexible — work when and where it suits you, on your own schedule * Freelance autonomy with the substance of meaningful, high-impact technical work * Gain rare, hands-on exposure to how frontier LLMs are trained and evaluated * Contribute to advancing AI systems that are more reliable, transparent, and capable in the real world * Potential for ongoing work and contract extension as new projects launch