Machine Learning Engineer

Alignerr Corp.; Dublin; Teletrabalho; EUR 49 000 - 98 000; Tempo parcial

Resumo da oferta

Alignerr is seeking a Machine Learning Engineer (AI Data Trainer) to create high-quality reasoning traces and structured workflows that teach AI models to think step-by-step. This fully remote hourly contract role offers flexibility to work 10–40 hours per week.

You will produce detailed decision-making documentation, generate training data, and critically review AI-generated reasoning to improve LLM performance. Master’s or PhD preferred, with ML/SE background.

Qualificações

• Experience in Machine Learning or software engineering.
• Ability to break down complex technical processes into clear, step-by-step explanations.
• Strong editing and critique of AI-generated reasoning.

Responsabilidades

• Produce precise, structured logical workflows demonstrating expert reasoning.
• Document step-by-step decision-making in a clear format.
• Generate high-quality training data illustrating tool usage, APIs and reasoning frameworks.
• Review AI-generated reasoning steps to identify gaps and errors.
• Contribute to datasets that improve how LLMs handle real-world tasks.

Conhecimentos

ML

Software engineering

Technical writing

Formação académica

Master's degree or PhD in a relevant field

Ferramentas

Data annotation tools

Descrição da oferta de emprego

Machine Learning Engineer (AI Data Trainer)

About The Role

What if your technical expertise could directly shape how the world's most advanced AI systems reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models by doing something uniquely valuable: demonstrating how expert minds actually think.

This isn't a typical ML role. You won't be tuning hyperparameters or deploying pipelines. Instead, you'll be producing the high-quality reasoning traces and logical workflows that teach AI models how to approach complex technical challenges — step by step, decision by decision. Your work will directly influence how the next generation of LLMs behaves in the real world.

This is a fully remote, flexible contract role. Work on your own schedule, at your own pace.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10-40 hours/week

What You'll Do

• 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

Who You Are

• 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
• Holds or is working toward a Master's Degree or PhD in a relevant field

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with LLM behavior, prompt engineering, or RLHF workflows
• Background in technical writing, research documentation, or structured problem-solving methodologies
• Hands-on experience working with AI tools, agents, or automated reasoning systems

Why Join Us

• Work directly with teams building some of the most advanced AI models in the world
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of genuinely meaningful, high-impact work
• Gain rare, inside exposure to how frontier LLMs are trained and evaluated
• Potential for ongoing work and contract extension as new AI training projects launch