Senior Machine Learning Engineer (AI Training)
About The Role
What if your deep knowledge of machine learning could directly determine how the next generation of AI models reason, plan, and make decisions? We're looking for Senior Machine Learning Engineers to help build the training data that teaches large language models to think — step by step, with precision and reliability.
This is a fully remote, flexible contract role built for experienced ML practitioners who want to do meaningful, high-impact work on their own schedule. You won't just be watching AI evolve — you'll be shaping it at the architectural level.
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 real-world tasks
Design and document structured decision-making flows that train models to reason reliably in multi-step scenarios
Review and refine reasoning traces for logical soundness, completeness, and clarity
Apply senior-level architectural thinking to ensure planning and tool-use documentation meets the highest quality standards
Develop data strategies that help LLMs navigate intricate, ambiguous, and technically demanding scenarios
Work independently and asynchronously — fully on your own schedule
Who You Are
Experienced in machine learning, AI research, or a closely related technical field with a strong focus on model reasoning and decision-making
Skilled at decomposing complex problems into clear, logical, well-documented steps
Deeply familiar with LLM evaluation and training methodologies
Able to think like a model — anticipating failure modes, edge cases, and reasoning gaps
A clear, precise technical writer who can document nuanced thought processes in structured formats
Self-directed and reliable when working independently without close supervision
Nice to Have
Prior experience with data annotation, data quality assurance, or model evaluation systems
Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating elite-level understanding of model performance and feature engineering
Experience working with or evaluating frontier AI systems
Background in AI safety, alignment research, or RLHF workflows
Why Join Us
Work directly with leading AI research labs on projects that are shaping the frontier of machine intelligence
Fully remote and flexible — structure your work around your life, not the other way around
Freelance autonomy with the depth and significance of meaningful, expert-level work
Rare access to the inner workings of how advanced LLMs are trained and evaluated
Potential for ongoing work and contract extension as new projects launch