Machine Learning Engineer - AI Data Trainer

Alignerr
Cambridge, United Kingdom
9 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

AI Compiler Engineer

IC Resources Bristol, Eng, United Kingdom
£80,000 pa Hybrid
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

Machine Learning Engineer

PhysicsX England
US$150,000 – US$190,000 pa On-site Clearance Required

Machine Learning Engineer

ECM Selection Cambridge, Cambridgeshire, United Kingdom
£40,000 – £70,000 pa On-site Clearance Required

Machine Learning Engineer

PhysicsX United Kingdom
£150,000 – £190,000 pa Remote

Machine Learning Engineer

Platform Recruitment London, United Kingdom
£60,000 – £70,000 pa On-site

Machine Learning Engineer

Hexwired Recruitment Limited London, United Kingdom
£80,000 – £120,000 pa

Machine Learning Engineer

Faculty London, United Kingdom
Hybrid
Posted
30 Dec 2025 (9 months ago)
Machine Learning Engineer - AI Data Trainer

Alignerr – Cambridge, England, United Kingdom (Remote)


Hourly Contract – 10–40 hours/week


Base pay range: $50.00/hr – $70.00/hr


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.


What you’ll do:



  • Author clear, structured reasoning traces for complex technical tasks.
  • Document step‑by‑step planning and decision‑making processes.
  • Create training data that demonstrates effective tool use in real‑world logic.

Requirements:



  • Background in Machine Learning, Computer Science, or a related technical field.
  • Ability to articulate complex logical steps and technical reasoning in writing.
  • Strong analytical skills to evaluate and improve AI decision‑making workflows.

Preferred:



  • Prior experience with data annotation, data quality, or evaluation systems.

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.


Referrals increase your chances of interviewing at Alignerr by 2x.


Seniority level

Entry level


Employment type

Contract


Job function

Engineering and Information Technology


Industries

Technology, Information and Internet


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.