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Senior Machine Learning Expert (AI Training)
About The Role
What if your deep knowledge of machine learning could directly influence how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to lead the creation of high-fidelity reasoning traces — structured, expert-crafted data that teaches LLMs how to think through complex, real-world problems step by step.
This is a fully remote, flexible contract role built for senior ML practitioners who understand model behavior at a deep level and want to apply that expertise to work that genuinely matters.
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 flows that reflect real-world problem-solving at a senior engineering level
Review and improve existing traces to ensure logical coherence, optimal planning, and accurate tool-use documentation
Develop data strategies that help AI models navigate intricate, multi-step scenarios with greater reliability
Apply architectural-level insights to ensure the reasoning data you produce drives meaningful improvements in model behavior
Who You Are
Experienced machine learning practitioner with deep familiarity with LLMs, model reasoning, and training methodologies
Skilled at decomposing complex technical problems into clear, structured, and logical steps
Comfortable working with advanced evaluation frameworks and understanding how training data shapes model outputs
Detail-oriented and rigorous — you hold your work to a high standard and it shows
Self-directed and productive working independently in an async, 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 elite-level understanding of model performance and feature engineering
Familiarity with agent-based LLM architectures or tool-augmented reasoning systems
Background in AI safety, alignment research, or RLHF pipelines
Why Join Us
Work at the frontier of AI — your contributions directly shape how cutting-edge LLMs reason and behave
Collaborate with world-leading AI research teams and labs on meaningful, high-impact projects
Fully remote and async — work on your schedule, from anywhere
Freelance autonomy with access to some of the most intellectually stimulating AI challenges available today
Potential for ongoing work and contract extension as new projects launch
Work arrangement
Yes
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