Machine Learning Engineer

Alignerr Corp.; Oxford; Remote; GBP 55,000 - 110,000; Part time

Job summary

Alignerr is seeking a Machine Learning Engineer to craft structured reasoning traces and train AI models remotely. You will document how AI should plan, decide, and act in complex tasks, and you will create high-quality data to ground model reasoning in real-world scenarios.

You will work independently on a fully remote, hourly contract with flexible hours, contributing to ongoing projects and potential extensions as new work emerges.

Qualifications

• Background in ML or CS and ability to articulate complex reasoning in writing.
• Strong analytical thinking with attention to detail and accuracy.
• Self-motivated and comfortable working independently on flexible schedules.

Responsibilities

• Author clear, structured reasoning traces documenting how an AI should plan and execute tasks.
• Map out step-by-step decision-making processes including tool use and logic branching.
• Create high-quality training data demonstrating grounded reasoning in real-world scenarios.
• Evaluate and refine AI outputs to improve model decision-making consistency.
• Work independently and asynchronously with flexible hours.

Skills

Machine Learning background

Computer Science background

Clear written reasoning

Analytical thinking

Detail-oriented

Self-motivated

Education

Background in ML/CS or related field

Tools

LLM architectures

Prompt engineering

RLHF workflows

Data annotation tools

Job description

Machine Learning Engineer (AI Data Trainer)

About The Role

What if your expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and solve real-world problems? We're looking for Machine Learning Engineers to work at the frontier of AI development - capturing the step-by-step reasoning and decision-making processes that teach large language models to think more reliably.

This is a fully remote, flexible contract role built for technical minds who can break down complex logic and communicate it with precision. You won't just observe how AI is trained - you'll be a core part of making it smarter.

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

What You'll Do

• Author clear, structured reasoning traces that document how an AI should plan and execute complex technical tasks
• Map out step-by-step decision-making processes - including tool use, logic branching, and problem-solving strategies
• Create high-quality training data that demonstrates reliable, grounded reasoning in real-world scenarios
• Evaluate and refine AI outputs to improve the quality and consistency of model decision-making
• Work independently and asynchronously - fully on your own schedule

Who You Are

• Background in Machine Learning, Computer Science, or a closely related technical field
• Able to articulate complex logical and technical reasoning in clear, structured writing
• Strong analytical thinker who can identify gaps or errors in AI decision-making workflows
• Detail-oriented and consistent - you take pride in producing high-quality, precise work
• Self-motivated and comfortable working independently without close supervision

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with LLM architectures, prompt engineering, or RLHF workflows
• Background in software engineering, applied research, or technical writing
• Experience working with structured reasoning frameworks or chain-of-thought methodologies

Why Join Us

• Work directly on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure of meaningful, impactful technical work
• Get rare, hands-on exposure to how advanced LLMs are actually trained and improved
• Contribute to AI development that shapes how models reason across millions of real-world use cases
• Potential for ongoing work and contract extension as new projects launch