Senior Machine Learning Expert
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Glasgow, Scotland, United Kingdom
Summary: The Senior Machine Learning Expert role focuses on developing high-fidelity reasoning traces that guide AI models in complex tasks. This fully remote position is designed for experienced machine learning practitioners who will collaborate with leading research teams. The role involves authoring detailed workflows, mentoring others, and applying architectural insights to enhance model behavior. Candidates should possess significant expertise in machine learning and a strong ability to document complex problem-solving processes.
Key Responsibilities:
- Author complex, high-fidelity reasoning traces that capture how an AI should plan, use tools, and make decisions across sophisticated technical tasks
- Break down intricate real-world problems into clear, logical, and well-documented step-by-step workflows
- Review and mentor reasoning trace work to ensure optimal planning, tool-use documentation, and decision-making quality
- Design data strategies that help LLMs navigate challenging, multi-step scenarios with greater reliability
- Apply senior-level architectural insight to ensure the traces you produce translate into measurably better model behavior
Key Skills:
- Experienced machine learning practitioner with significant hands-on expertise in ML, deep learning, or a closely related technical field
- Skilled at decomposing complex, ambiguous problems into structured, logical steps — and documenting them clearly
- Familiar with how large language models are evaluated, fine-tuned, and trained
- Naturally rigorous and detail-oriented, with a high bar for output quality
- Self-directed and comfortable working independently in a remote, asynchronous environment
- Prior experience with data annotation, data quality pipelines, or model evaluation systems (nice to have)
- Top-tier Kaggle competition results (Grandmaster or Master level) (nice to have)
- Familiarity with reasoning frameworks, chain-of-thought methodologies, or structured output formats for LLMs (nice to have)
- Background in AI safety, alignment research, or RLHF-adjacent workflows (nice to have)
Salary (Rate): £60.00/hr
City: Glasgow
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly influence how the next generation of AI systems think, plan, and solve problems? We're looking for Senior Machine Learning Experts to author and lead the development of high-fidelity reasoning traces — the structured, step-by-step records of how an AI model should approach complex real-world tasks. This is a fully remote, flexible contract role built for experienced ML practitioners who want to work at the frontier of AI development alongside world-leading research teams.
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 AI should plan, use tools, and make decisions across sophisticated technical tasks
- Break down intricate real-world problems into clear, logical, and well-documented step-by-step workflows
- Review and mentor reasoning trace work to ensure optimal planning, tool-use documentation, and decision-making quality
- Design data strategies that help LLMs navigate challenging, multi-step scenarios with greater reliability
- Apply senior-level architectural insight to ensure the traces you produce translate into measurably better model behavior
Who You Are
- Experienced machine learning practitioner with significant hands-on expertise in ML, deep learning, or a closely related technical field
- Skilled at decomposing complex, ambiguous problems into structured, logical steps — and documenting them clearly
- Familiar with how large language models are evaluated, fine-tuned, and trained
- Naturally rigorous and detail-oriented, with a high bar for output quality
- Self-directed and comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality pipelines, or model evaluation systems
- Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating deep expertise in model performance and feature engineering
- Familiarity with reasoning frameworks, chain-of-thought methodologies, or structured output formats for LLMs
- Background in AI safety, alignment research, or RLHF-adjacent workflows
Why Join Us
- Work directly on cutting-edge AI projects alongside leading research labs and frontier model teams
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the depth and meaning of high-impact technical work
- Get rare, behind-the-scenes exposure to how advanced LLMs are trained and improved at scale
- Potential for contract extension as new projects launch and the work evolves