Remote ML Engineer - AI Reasoning Trainer (Contract)

Alignerr Corp.; Dublin; A distancia; EUR 83.000 - 138.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Potential for contract extension

Descripción de la vacante

Alignerr is seeking a Machine Learning Engineer to craft high-quality reasoning traces and structured workflows that teach AI models how to think step by step. This fully remote, hourly contract role focuses on data-driven training rather than traditional tuning. You will document decisions, generate training data with tools and APIs, and review AI reasoning to improve model performance. Flexible 10–40 hours per week.

Formación

• Professionally experienced in Machine Learning, Software Engineering, or a closely related technical discipline.
• Able to break down complex technical processes into clear, structured, step-by-step explanations.
• A strong critical thinker who can audit and refine AI-generated reasoning with precision.
• Comfortable working independently and delivering consistent, high-quality outputs.

Responsabilidades

• Produce precise, structured logical workflows that demonstrate expert reasoning for sophisticated technical challenges.
• Document step-by-step decision-making and problem-solving strategies in a clear, organized format.
• Generate high-quality training data that illustrates how to effectively use tools, APIs, and reasoning frameworks.
• Review and critically evaluate AI-generated reasoning steps — identifying gaps, errors, and areas for improvement.
• Contribute to datasets that directly improve how LLMs handle real-world engineering and ML tasks.

Conocimientos

Machine Learning

Software Engineering

Technical communication

Educación

Master's degree or PhD in a relevant field

Descripción del empleo

Alignerr is seeking a Machine Learning Engineer to craft high-quality reasoning traces and structured workflows that teach AI models how to think step by step. This fully remote, hourly contract role focuses on data-driven training rather than traditional tuning. You will document decisions, generate training data with tools and APIs, and review AI reasoning to improve model performance. Flexible 10–40 hours per week.