Senior Machine Learning Expert

Alignerr Corp.; Greater London; Remote; GBP 96,000 - 165,000; Full time

Job summary

Alignerr is seeking a Senior Machine Learning Expert (AI Training) to author high-fidelity reasoning traces and shape how the world’s most advanced AI systems reason, plan, and decide. This fully remote, hourly contract role is designed for senior ML practitioners who want to influence frontier AI development.

You’ll author step-by-step traces, design structured reasoning, mentor trace quality, and contribute to training pipelines that improve model reliability and capability.

Qualifications

• Seasoned in machine learning and AI research with focus on reasoning and evaluation.

Responsibilities

• Author complex, high-fidelity reasoning traces with step-by-step planning and decision-making.
• Design structured traces for navigation of real-world scenarios by LLMs.
• Review and mentor trace quality for clarity and logical flow.
• Develop data strategies exposing LLMs to diverse decision-making contexts.
• Contribute to training pipelines to improve reliability and capability of AI models.

Skills

ML expertise

AI research

Model reasoning

Independent work

Job description

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