Remote ML Engineer for AI Reasoning & Training Data

Alignerr; Cambridge; On-site; GBP 83,000 - 124,000; Part time

Job summary

Alignerr is seeking a Machine Learning Engineer to help train cutting‑edge AI models by illustrating expert‑level problem solving step by step. This is a fully remote, hourly contract role with flexible scheduling (10–40 hours/week).

You’ll produce high‑quality reasoning data, documenting strategies, tool choices, and decision processes for AI training. The role requires a strong ML or software engineering background, excellent ability to articulate reasoning, and meticulous, independent work

Qualifications

• Professional background in ML or software engineering.
• Ability to articulate complex reasoning clearly.
• Strong critical thinker who identifies gaps in workflows.
• Methodical and detail‑oriented; documents thinking as you work.
• Comfortable working independently on open‑ended technical tasks.

Responsibilities

• Tackle sophisticated ML and engineering problems while documenting your reasoning process in clear, structured logs.
• Record sequential decision‑making workflows — how you strategize, select tools, and arrive at solutions.
• Produce high‑quality training data that shows AI models how expert engineers approach complex technical challenges.
• Audit and refine AI‑generated reasoning steps for logical soundness and technical accuracy.
• Demonstrate proficient tool selection and use across realistic problem scenarios.
• Work independently and asynchronously — entirely on your own schedule.

Skills

ML

Software Engineering

Reasoning clarity

Critical thinking

Attention to detail

Independent work

Education

Master's degree or PhD

Tools

Data annotation tools

Job description

Alignerr is seeking a Machine Learning Engineer to help train cutting‑edge AI models by illustrating expert‑level problem solving step by step. This is a fully remote, hourly contract role with flexible scheduling (10–40 hours/week).

You’ll produce high‑quality reasoning data, documenting strategies, tool choices, and decision processes for AI training. The role requires a strong ML or software engineering background, excellent ability to articulate reasoning, and meticulous, independent work