Senior Machine Learning Engineer - AI Data Trainer

Alignerr Corp.; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading AI research firm is seeking a Senior Machine Learning Engineer – AI Data Trainer. This remote role involves leading the creation of high-fidelity reasoning traces and mentoring others to document decision-making processes effectively. Candidates should possess significant machine learning experience and skills in decomposing complex problems. Enjoy competitive pay with flexible hours, remote collaboration, and opportunities for contract extension.

Benefits

Competitive pay

Flexible remote work

Autonomy and flexibility

Global collaboration

Qualifications

• Significant experience in Machine Learning or related fields.
• Proven ability to decompose complex problems into steps.
• Experience with advanced LLM evaluation methodologies.

Responsibilities

• Lead the authorship of reasoning traces for technical tasks.
• Mentor and review traces for optimal documentation.
• Design data strategies for LLMs in decision-making scenarios.

Skills

Machine Learning

Problem Decomposition

Advanced LLM Methodologies

Data Annotation

Feature Engineering

Job description

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 captures 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

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.

Application Process (Takes 15‑20 min)

• Submit your resume.
• Complete a short screening.
• Project matching and onboarding.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.