Senior Machine Learning Expert

Alignerr; Dublin; A distancia; EUR 83.000 - 152.000; Jornada completa

Descripción de la vacante

Alignerr Corp. is seeking a Senior Machine Learning Expert to author high-fidelity reasoning traces that teach LLMs how to think, plan, and act reliably in real-world scenarios.

This remote, hourly-contract role offers flexible hours and the chance to impact frontier AI research. You will design structured decision pathways, mentor tracing work, develop data strategies, and contribute to training data that improves model reliability at scale.

Formación

• Senior ML/AI researcher with senior-level experience.
• Natural problem decomposer capable of breaking complex challenges into clear steps.
• Familiar with LLM evaluation and training methodologies.
• Self-directed, precise, and able to document decisions clearly in a remote setting.

Responsabilidades

• Author complex, high-fidelity reasoning traces for how an LLM should plan, use tools, and decide in technical scenarios.
• Design and document structured decision pathways showing reasoning steps from problem to solution.
• Review and mentor reasoning trace work to ensure planning quality, tool-use documentation, and decision logic meet standards.
• Develop data strategies to help LLMs navigate real-world reasoning challenges.
• Contribute to training data to improve model reliability and decision-making at scale.

Descripción del empleo

Senior Machine Learning Expert (AI Training)

About The Role

What if your deep understanding of machine learning could directly shape how the next generation of AI systems reason through complex problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step decision pathways that teach large language models how to think, plan, and act reliably in the real world.

• 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, use tools, and make decisions across sophisticated technical scenarios
• Design and document structured decision pathways — showing each reasoning step clearly and logically from problem to solution
• Review and mentor reasoning trace work to ensure planning quality, tool-use documentation, and decision logic meet high standards
• Develop data strategies that help LLMs navigate intricate, real-world reasoning challenges
• Contribute directly to training data that improves model reliability and decision-making at scale

Who You Are

• Experienced in Machine Learning, AI research, or a closely related technical field — you've worked at a senior level and it shows
• A natural problem decomposer — you can break complex, ambiguous challenges into clear, logical, well-documented steps
• Deeply familiar with LLM evaluation and training methodologies
• A precise, structured thinker who takes quality seriously and documents decisions with clarity
• Self-directed and comfortable working autonomously in a 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 expert-level model understanding and feature engineering
• Experience working alongside AI research teams or contributing to foundation model development
• Background in reinforcement learning, chain-of-thought prompting, or agent-based AI systems

Why Join Us

• Work at the cutting edge of AI — your contributions directly influence how frontier LLMs learn to reason
• Collaborate with a global team partnered with the world's leading AI research labs
• Fully remote and async — work when and where you do your best thinking
• Freelance autonomy with the substance of genuinely impactful, technically demanding work
• Potential for ongoing work and contract extension as new projects launch