Senior Machine Learning Expert
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Senior Machine Learning Expert role focuses on creating detailed reasoning traces that guide AI systems in decision-making and problem-solving. This fully remote position is designed for experienced ML practitioners who want to contribute to cutting-edge AI development. The role involves authoring complex documentation and mentoring others to ensure clarity and logical flow in AI reasoning. Candidates will also engage in developing data strategies and training pipelines to enhance AI model reliability and capability.
Key Responsibilities:
- Author complex, high-fidelity reasoning traces that capture step-by-step planning, tool use, and decision-making for sophisticated technical tasks
- Design structured traces that demonstrate how an LLM should navigate intricate, real-world scenarios
- Review and mentor trace quality to ensure optimal clarity, logical flow, and documentation of reasoning
- Develop data strategies that expose LLMs to diverse and challenging decision-making contexts
- Contribute directly to training pipelines that make AI models more reliable, capable, and trustworthy
Key Skills:
- Experienced in machine learning, AI research, or a closely related technical field — with a strong focus on model reasoning and evaluation
- Skilled at decomposing complex problems into clear, logical, well-documented steps
- Familiar with advanced LLM evaluation and training methodologies
- Able to think both architecturally and granularly — seeing the big picture while sweating the details
- Self-directed and comfortable producing high-quality work independently
- Prior experience with data annotation, data quality assurance, or evaluation systems (nice to have)
- Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating deep understanding of model performance and feature engineering (nice to have)
- Hands-on experience with RLHF, chain-of-thought prompting, or similar training techniques (nice to have)
- Background in AI safety, interpretability, or alignment research (nice to have)
Salary (Rate): £60.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Senior Machine Learning Expert (AI Training)
About The Role
What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — step-by-step documentation of how an AI should think through complex, real-world problems. This is a fully remote, flexible contract role built for senior ML practitioners who want to work at the frontier of AI development. Your expertise won't just inform a model — it will become part of how it thinks.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Author complex, high-fidelity reasoning traces that capture step-by-step planning, tool use, and decision-making for sophisticated technical tasks
- Design structured traces that demonstrate how an LLM should navigate intricate, real-world scenarios
- Review and mentor trace quality to ensure optimal clarity, logical flow, and documentation of reasoning
- Develop data strategies that expose LLMs to diverse and challenging decision-making contexts
- Contribute directly to training pipelines that make AI models more reliable, capable, and trustworthy
Who You Are
- Experienced in machine learning, AI research, or a closely related technical field — with a strong focus on model reasoning and evaluation
- Skilled at decomposing complex problems into clear, logical, well-documented steps
- Familiar with advanced LLM evaluation and training methodologies
- Able to think both architecturally and granularly — seeing the big picture while sweating the details
- Self-directed and comfortable producing high-quality work independently
Nice to Have
- Prior experience with data annotation, data quality assurance, or evaluation systems
- Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating deep understanding of model performance and feature engineering
- Hands-on experience with RLHF, chain-of-thought prompting, or similar training techniques
- Background in AI safety, interpretability, or alignment research
Why Join Us
- Work directly with teams building the most advanced AI models in the world
- Fully remote and async — work when and where it suits you
- Freelance autonomy with genuinely meaningful, high-impact work
- Get rare, hands-on exposure to how frontier LLMs are trained and improved
- Potential for ongoing work and contract extension as new projects launch