Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Training)
About The Role
What if your deep understanding of machine learning could directly shape 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 that teaches LLMs how to approach real-world tasks with precision and reliability.
This is a fully remote, flexible contract role built for experienced ML practitioners who want to work at the frontier of AI development, on their own schedule, without sacrificing depth or 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 across sophisticated technical tasks
Design and document structured decision-making workflows that help AI models navigate intricate, real-world scenarios
Review and mentor reasoning trace outputs to ensure optimal quality, logical clarity, and sound tool-use documentation
Develop data strategies that improve how LLMs reason through multi-step problems end to end
Collaborate with a global team working directly with leading AI research labs
Who You Are
Experienced machine learning practitioner with significant hands-on expertise in ML, deep learning, or a closely related technical field
Skilled at decomposing complex problems into clear, logical, well-documented steps — you think in systems and structure
Familiar with advanced LLM evaluation, fine-tuning, and training methodologies
Detail-oriented and rigorous — you hold your work to a high standard and it shows
Comfortable working independently and asynchronously in a remote environment
Nice to Have
Prior experience with data annotation, data quality assessment, or AI evaluation pipelines
Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite model performance and feature engineering skills
Background in AI safety, model alignment, or RLHF workflows
Experience writing technical documentation or structured analytical frameworks
Why Join Us
Work at the cutting edge of AI — your contributions directly influence how frontier LLMs learn to reason
Collaborate with a team partnered with the world's leading AI research labs
Fully remote and asynchronous — work when it suits you, from anywhere
Freelance autonomy with meaningful, intellectually demanding work
Exposure to state-of-the-art LLM training methodologies you won't find anywhere else
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No