Senior Machine Learning Expert

Alignerr Corp.; España; Remote; EUR 83,000 - 165,000; Part time

Job summary

Alignerr Corp. seeks a Senior Machine Learning Expert (AI Training) to author high‑fidelity reasoning traces that teach LLMs to reason step by step. You’ll design structured decision workflows that guide models in complex tasks.

This fully remote, hourly contract runs 10–40 hours per week with flexible scheduling, offering influence over how frontier AI systems are trained and evaluated. Work is asynchronous and contract-based.

Qualifications

• Experience in machine learning or AI research.
• Ability to break down problems into clear steps.
• Familiar with LLM evaluation or training pipelines.

Responsibilities

• Author complex reasoning traces for LLM training.
• Break down problems into structured, logical steps.
• Contribute data strategies for multi-step decision making.
• Review traces for quality and alignment with best practices.
• Ensure traces reflect expert thinking in models.

Skills

ML expertise

RLHF workflows

LLM reasoning

NLP familiarity

Problem decomposition

Job description

Senior Machine Learning Expert (AI Training)

About The Role

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 looking for Senior Machine Learning Experts to author the reasoning traces that teach LLMs how to reason step by step - turning your technical intuition into the training data that powers next-generation AI. This is a fully remote, flexible contract role designed for experienced ML practitioners who understand how models make decisions and want to influence that process from the inside.

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

What You'll Do

• Author complex, high-fidelity reasoning traces that document how an LLM should plan, use tools, and make decisions across sophisticated technical tasks
• Break down intricate real-world problems into clear, structured, logical steps that models can learn from
• Design and contribute to data strategies that help LLMs navigate multi-step decision-making scenarios reliably
• Review and refine reasoning traces for quality, completeness, and alignment with best practices in model training
• Apply your architectural and systems-level ML knowledge to ensure traces reflect how expert practitioners actually think

Who You Are

• Experienced in machine learning, AI research, or a closely related technical field - you understand how models reason and where they fail
• Skilled at decomposing hard problems into clear, documented, logical steps
• Familiar with LLM evaluation methodologies, training pipelines, or RLHF-style workflows
• Detail-oriented and rigorous - you care about getting things exactly right
• Comfortable working independently and asynchronously in a remote environment

Nice to Have

• Prior experience in data annotation, data quality, or AI evaluation systems
• Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating elite-level understanding of model performance and feature engineering
• Background in NLP, reasoning systems, or agent-based model development
• Experience writing technical documentation or structured problem-solving guides

Why Join Us

• Work on some of the most technically challenging AI problems in the industry alongside leading research labs
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure and purpose of meaningful, high-impact work
• Gain deep, hands-on exposure to how frontier LLMs are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch