Senior Machine Learning Engineer

Alignerr Corp.; France; Remote; EUR 74,000 - 98,000; Part time

Benefits offered by this job

Flexible remote work

Autonomy

Global collaboration

Job summary

Alignerr Corp. is hiring a Senior Machine Learning Engineer - AI Data Trainer. Remote hourly contract, 10–40 hours/week.

You will lead high-fidelity reasoning traces that guide AI models through complex tasks and mentor teams in documenting planning and tool use. You will design data strategies to improve real-world decision-making in LLMs. The role rewards expertise in ML, strong problem decomposition, and experience with LLM evaluation and training strategies.

Qualifications

• Experience in machine learning or related technical fields with a focus on model reasoning.
• Proven ability to decompose complex problems into clear, logical, and documented steps.
• Experience with advanced LLM evaluation and training methodologies.

Responsibilities

• Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
• Mentor and review structured traces to ensure optimal planning and tool-use documentation.
• Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.

Skills

Machine Learning

Model reasoning

LLM evaluation

Training methodologies

Job description

• Location: Remote

Senior Machine Learning Engineer - AI Data Trainer

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This project is about capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making, creating data that trains models to reason more reliably in real world scenarios.

Organization: Alignerr Position: Senior Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $60–$80 /hour Location: Remote Commitment: 10–40 hours/week

What You’ll Do

• Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
• Mentor and review structured traces to ensure optimal planning and tool-use documentation.
• Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.

Requirements

• Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
• Proven ability to decompose complex problems into clear, logical, and documented steps.
• Experience with advanced LLM evaluation and training methodologies.

Preferred

• Prior experience with data annotation, data quality, or evaluation systems.
• Top-tier Kaggle competition results (e.g., "Grandmaster/Master level"), demonstrating a deep understanding of model performance and feature engineering.

Why Join Us

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting-edge AI projects.
• Exposure to advanced LLMs and how they’re trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.