Senior Machine Learning Engineer

Alignerr Corp.; France; Remote; EUR 74,000 - 99,000; Part time

Benefits offered by this job

Autonomy and flexibility

Global collaboration

Job summary

Alignerr Corp. is seeking a Senior Machine Learning Engineer - AI Data Trainer to join on a remote, hourly contract. Expect 10-40 hours per week and a flexible schedule that fits a global collaboration model.

You will lead the authorship of high-fidelity reasoning traces, mentor others on structured traces, and design data strategies to help LLMs solve real-world tasks with better reliability. Requirements include significant ML experience focused on model reasoning and advanced LLM

Qualifications

• Significant experience in Machine Learning with emphasis on model reasoning.
• Ability to decompose complex problems into clear, logical steps.
• Experience with advanced LLM evaluation and training methodologies.

Responsibilities

• Lead authorship of complex, high-fidelity reasoning traces for 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

Problem decomposition

LLM evaluation

Documentation

Tools

Kaggle

Data annotation tools

Job description

Senior Machine Learning Engineer - AI Data Trainer

About The Job

Location: Remote

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.