Remote Senior ML Engineer: AI Reasoning & Training Traces

Alignerr Corp.; España; Remote; EUR 74,000 - 148,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance autonomy

Job summary

Alignerr is seeking a Senior Machine Learning Engineer to author high-fidelity reasoning traces that teach cutting-edge LLMs how to think step by step. This is a fully remote, hourly contract role built for experienced ML professionals who understand model behavior at a deep level and can translate that understanding into structured, actionable training data.

This role offers 10–40 hours per week with a flexible schedule and a chance to collaborate with a global team on frontier AI research,

Qualifications

• Experienced ML engineer or researcher with a strong foundation in model reasoning, training, or evaluation.
• Able to break down complex, ambiguous problems into structured, logical reasoning chains.
• Deeply familiar with how LLMs work — including their failure modes, capabilities, and training dynamics.
• Detail-oriented and rigorous in your thinking — you care about getting things exactly right.

Responsibilities

• Author complex, high-fidelity reasoning traces that capture how an AI should plan, use tools, and make decisions across sophisticated real-world tasks.
• Decompose difficult technical problems into clear, logical, well-documented steps that serve as ground truth for model training.
• Review and mentor the quality of structured traces produced by others, ensuring accuracy, consistency, and optimal planning documentation.
• Design data strategies that help LLMs navigate intricate, multi-step decision-making scenarios.
• Collaborate with a global team of ML professionals working at the frontier of AI research.

Skills

Machine learning

Job description

Alignerr is seeking a Senior Machine Learning Engineer to author high-fidelity reasoning traces that teach cutting-edge LLMs how to think step by step. This is a fully remote, hourly contract role built for experienced ML professionals who understand model behavior at a deep level and can translate that understanding into structured, actionable training data.

This role offers 10–40 hours per week with a flexible schedule and a chance to collaborate with a global team on frontier AI research,