Machine Learning Engineer

Alignerr Corp.; Dublin; Remote; EUR 49,000 - 98,000; Full time

Benefits offered by this job

Remote work

Job summary

Alignerr is seeking a Machine Learning Engineer (AI Data Trainer) for a fully remote hourly contract. You’ll craft high‑quality reasoning traces and workflows to teach AI models how to approach complex problems, step by step. This role emphasizes independent work, rigorous evaluation, and structured problem solving.

The position focuses on producing datasets and documentation that improve LLM training, with flexible hours of 10–40 per week and remote collaboration with a global team.

Qualifications

• Experience in Machine Learning or related technical discipline.
• Ability to breakdown complex processes into clear step-by-step explanations.
• Strong ability to audit and refine AI-generated reasoning with precision.
• Capable of independent work and delivering high-quality outputs.
• Pursuing or holding a Master’s or PhD in a relevant field.

Responsibilities

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

Skills

Machine Learning

Software Engineering

Critical Thinking

Education

Master's or PhD in a relevant field

Job description

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