Senior Machine Learning Engineer

Alignerr; Deutschland; Remote; EUR 83.000 - 165.000; Teilzeit

Zusammenfassung

Alignerr is seeking a Senior Machine Learning Engineer — AI Data Trainer to author and architect complex reasoning traces for advanced LLMs. This is a fully remote, flexible contract role offering 10–40 hours per week on your schedule.

You will document step‑by‑step decision making, design data strategies, and review trace quality while mentoring others. Strong writing and experience with model reasoning are essential. Potential for ongoing project work and extensions.

Qualifikationen

• Experience in ML/AI research focusing on model reasoning and decision-making.
• Ability to decompose complex problems into clear, documented steps.
• Familiarity with LLM evaluation and training methodologies.

Aufgaben

• Author complex, high‑fidelity reasoning traces that demonstrate how an LLM should plan and execute sophisticated technical tasks
• Document step‑by‑step decision‑making, tool selection, and problem decomposition in clear, structured formats
• Design and implement data strategies that train models to navigate intricate real‑world scenarios reliably
• Review and mentor reasoning trace quality — ensuring consistency, logical soundness, and optimal tool‑use documentation
• Apply senior‑level architectural thinking to identify failure modes and edge cases in model reasoning workflows

Kenntnisse

Machine learning

AI research

Model reasoning

Decision-making

Technical writing

Tools

Kaggle

Prompt engineering

RLHF

Chain-of-thought training

Jobbeschreibung

Senior Machine Learning Engineer — AI Data Trainer

What if your deep expertise in machine learning could directly shape how the world's most advanced AI systems think, plan, and solve problems? We're partnering with leading AI research labs to capture something genuinely hard: how a large language model should reason through complex, real-world tasks — step by step. That means planning, tool use, decision‑making, and recovery from error. Done well, this data becomes the backbone of more reliable, capable AI. We're looking for senior ML engineers who can author and architect these reasoning traces with the depth and precision that cutting‑edge model training demands. This is a fully remote, flexible contract role — 10 to 40 hours per week, on your schedule.

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

What You'll Do

• Author complex, high‑fidelity reasoning traces that demonstrate how an LLM should plan and execute sophisticated technical tasks
• Document step‑by‑step decision‑making, tool selection, and problem decomposition in clear, structured formats
• Design and implement data strategies that train models to navigate intricate real‑world scenarios reliably
• Review and mentor reasoning trace quality — ensuring consistency, logical soundness, and optimal tool‑use documentation
• Apply senior‑level architectural thinking to identify failure modes and edge cases in model reasoning workflows

Who You Are

• Experienced in machine learning, AI research, or a closely related technical discipline — with a focus on model reasoning and decision‑making
• Skilled at decomposing complex problems into clear, logical, and well‑documented steps
• Familiar with advanced LLM evaluation and training methodologies
• Self‑directed, rigorous, and comfortable working asynchronously across a distributed team
• Strong written communicator who can translate technical thinking into structured, readable formats

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Top‑tier Kaggle competition results (Grandmaster or Master level) — demonstrating elite‑level understanding of model performance and feature engineering
• Hands‑on experience with prompt engineering, RLHF, or chain‑of‑thought training methodologies
• Background in building or evaluating agentic AI systems

Why Join Us

• Work at the frontier — collaborate directly with teams building the next generation of AI reasoning capabilities
• Fully remote and async — work when and where you do your best thinking
• Freelance autonomy with meaningful, intellectually challenging work
• Contribute to training data that has a direct, lasting impact on how AI reasons in the real world
• Potential for ongoing work and contract extension as new projects launch