Senior Machine Learning Engineer

Alignerr Corp.; Dublin; Remote; EUR 74,000 - 148,000; Part time

Job summary

Alignerr Corp. is seeking a Senior Machine Learning Engineer to author high-fidelity reasoning traces for large language models in a fully remote, hourly contract role.

You will shape how LLMs plan, reason, and act on complex technical tasks with structured, well-documented step-by-step traces. You’ll break down intricate problems into clear sequences, document tool usage and planning strategies, and provide expert feedback on traces from others.

Qualifications

• Extensive experience in building and evaluating LLM traces.
• Ability to decompose complex tasks into structured steps.
• Experience with data annotation or AI evaluation systems.
• Strong communication to document reasoning processes.
• Remote, independent work experience.

Responsibilities

• Author high-fidelity reasoning traces for LLMs.
• Break down problems into clear decision sequences.
• Document tool use, planning strategies, and multi-step reasoning.
• Review traces created by other contributors.
• Contribute to data strategies and model evaluation.

Skills

Model reasoning

LLM evaluation

Asynchronous work

Structured steps

Tools

Python

PyTorch

TensorFlow

Job description

Senior Machine Learning Engineer (AI Training)

What if your deepest ML expertise — the kind built from years of debugging models, engineering features, and decomposing hard problems — could directly shape how the next generation of AI systems reason and make decisions?

We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces for large language models. This means writing structured, step-by-step records of how an intelligent system should plan, use tools, and arrive at decisions when tackling complex, real-world technical tasks. The data you create trains LLMs to reason more reliably — and your senior-level insight is exactly what makes the difference between traces that are merely adequate and traces that are exceptional.

This is a fully remote, flexible contract role built for experienced ML practitioners who want to work at the frontier of AI development on their own terms.

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

What You'll Do

• Author complex, high-fidelity reasoning traces that capture how an LLM should plan, reason, and act when solving sophisticated technical tasks
• Break down intricate problems into clear, logical, and well-documented decision sequences
• Document tool use, planning strategies, and multi-step reasoning in structured formats
• Review and provide expert feedback on traces created by other contributors
• Design data strategies that help models navigate ambiguous, multi-step, real-world scenarios
• Apply your understanding of LLM evaluation and training to ensure traces drive meaningful model improvement

Who You Are

• Experienced ML practitioner with deep knowledge of model reasoning, training pipelines, or LLM behavior
• Skilled at decomposing hard problems into structured, logical steps — and explaining your thinking clearly
• Familiar with LLM evaluation methodologies and what makes a model's decision process trustworthy
• Detail-oriented and rigorous — you set a high bar for quality and consistency
• Comfortable working independently in an asynchronous, remote environment

Nice to Have

• Prior experience with data annotation, data quality pipelines, or AI evaluation systems
• Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating advanced model performance and feature engineering expertise
• Background in AI safety, alignment research, or RLHF-adjacent work
• Experience mentoring or reviewing technical work produced by other ML practitioners

Why Join Us

• Work directly with world-leading AI research teams and labs on genuinely frontier projects
• Fully remote and asynchronous — work when and where you're most effective
• Freelance autonomy with meaningful, intellectually stimulating task-based work
• Gain rare, hands-on exposure to how cutting-edge LLMs are trained and evaluated
• Contribute to AI systems that millions of people will rely on
• Potential for ongoing work and contract extension as new projects launch