Senior Machine Learning Expert

Senior Machine Learning Expert (AI Training) About The Role What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and solve real-world problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — structured, step-by-step records of how an AI should think through complex tasks — that train large language models to reason more reliably and effectively. This is a fully remote, flexible contract role built for senior ML professionals who want meaningful, intellectually stimulating work on the cutting edge of AI development. No office. No fixed hours. Just high-impact work at the frontier of AI. 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 Break down intricate real-world problems into clear, logical, well-documented steps that serve as training data for frontier AI models Review and provide expert-level feedback on reasoning traces produced by other contributors to ensure quality and consistency Design data strategies that help LLMs navigate multi-step decision-making scenarios more reliably Apply your knowledge of advanced ML architectures and model behavior to produce traces that reflect genuine expert reasoning Work independently and asynchronously — fully on your own schedule Who You Are Experienced machine learning practitioner with deep expertise in model reasoning, architecture, and evaluation Able to decompose complex, ambiguous problems into clear, logical, and well-documented workflows Comfortable working with advanced LLM evaluation and training methodologies Naturally rigorous and detail-oriented — you care about getting the reasoning right, not just the answer Strong written communicator who can articulate technical thinking in a clear, structured way Self-directed and reliable when working independently without 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 Background in AI safety, alignment research, or RLHF-adjacent workflows Experience writing technical documentation, research notes, or structured decision logs Why Join Us Work directly with leading AI research labs and teams building frontier models Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, high-impact technical work Contribute to AI development that shapes how the world's most advanced models reason and act Potential for ongoing work and contract extension as new projects launch

Author high-fidelity reasoning traces and structured step-by-step records to train large language models in complex problem-solving. Review peer contributions and design data strategies to improve LLM decision-making and reliability.

Requires an experienced machine learning practitioner with deep expertise in model reasoning, architecture, and evaluation. Candidates must be able to decompose ambiguous problems into logical workflows and possess strong technical communication skills.

• Machine learningPreferred

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Large Language Models
• Reasoning Traces
• Model Evaluation
• Data Annotation
• RLHF
• AI Safety
• Technical Documentation
• Feature Engineering
• Model Architecture
• Data Strategy
• Technical Writing

• Technology
• Software
• Data & Analytics
• Science & Research
• Engineering

Minimum experience

5+ years

Apply by

Sep 5, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Vancouver, British Columbia, Canada

Seniority

Mid-Senior level