Senior Machine Learning Engineer

About The Role

What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces that teach large language models how to think — step by step, tool by tool, decision by decision.

This isn't a traditional ML role. You'll work at the frontier of AI development, translating your hard-won technical intuition into structured data that makes AI smarter, more reliable, and more capable in the real world.

This is a fully remote, flexible contract role — work on your schedule, at your pace.

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

• Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions when solving real technical tasks
• Decompose sophisticated ML problems into clear, logical, well-documented step-by-step solutions
• Design and implement data strategies that train LLMs to navigate intricate, real-world decision-making scenarios
• Review and provide expert-level feedback on reasoning traces produced by other contributors
• Ensure traces reflect sound architectural thinking, rigorous logic, and best practices in model reasoning
• Work across a variety of advanced technical tasks spanning ML engineering, model evaluation, and system design

• Seasoned ML practitioner with significant hands-on experience in machine learning, deep learning, or a closely related technical field
• Skilled at breaking down complex, multi-step problems into clear and logical structures — you think in systems and document with precision
• Familiar with LLM architectures, training methodologies, and evaluation frameworks
• A strong written communicator who can articulate technical reasoning clearly and concisely
• Self-directed and dependable — you produce quality work independently without needing hand-holding

• Prior experience in data annotation, data quality assurance, or AI evaluation pipelines
• Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite-level model performance and feature engineering
• Experience contributing to LLM fine-tuning, RLHF, or other alignment-adjacent workflows
• Background in AI research or applied ML in production environments

• Work directly with teams building some of the most advanced AI models in the world
• Fully remote and asynchronous — work when it suits you, from wherever you are
• Freelance autonomy with the structure of meaningful, high-impact technical work
• Get rare, hands-on exposure to how frontier LLMs are trained and shaped at the data level
• Collaborate with a global community of expert contributors across AI and ML
• Potential for ongoing work and contract extension as new projects launch