Remote Senior ML Engineer - Shape AI Reasoning and Planning

Alignerr

España

Presencial

EUR 96.000 - 165.000

A tiempo parcial

hace 40 horas
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Descripción de la vacante

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 with flexible hours (10–40 hours/week) and collaboration with a global team of ML professionals.

You will decompose complex problems into structured, logical steps, translate understanding into actionable training data, and mentor others to ensure accurate and consistent planning documentation.

Formación

  • Experienced ML engineer or researcher with a strong foundation in model reasoning, training, or evaluation.
  • Able to break down complex problems into structured, logical reasoning chains.
  • Deep familiarity with how LLMs work, including failure modes, capabilities, and training dynamics.

Responsabilidades

  • 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.

Conocimientos

Machine Learning
LLM Reasoning
Async Collaboration

Descripción del empleo

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 with flexible hours (10–40 hours/week) and collaboration with a global team of ML professionals.

You will decompose complex problems into structured, logical steps, translate understanding into actionable training data, and mentor others to ensure accurate and consistent planning documentation.

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