Machine Learning Engineer

Alignerr
Municipality of Zaragoza, Spain
2 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Municipality of Zaragoza, Spain

Tech stack

Training Data
Artificial Intelligence
Data Auditing
Machine Learning
Software Engineering
Large Language Models
Prompt Engineering
Information Technology

Job description

OverviewMachine Learning Engineer (AI Data Trainer). About The Role: What if your technical expertise could directly influence how the world's most advanced AI systems learn to reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models by demonstrating expert-level problem-solving - step by step, tool by tool, decision by decision. This isn't a typical ML engineering role. You'll be working at the frontier of AI development, producing the high-quality reasoning data that teaches large language models how to think like an expert. Your work will have a direct, lasting impact on how AI handles real-world technical challenges. This is a fully remote, flexible contract role built for experienced technical professionals who want to contribute to something genuinely significant.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: ***** hours/weekWhat YouEll DoConstruct precise, well-structured reasoning logs that walk through complex technical problems - capturing your strategy, tool use, and decision-making at each stepDemonstrate how an expert approaches sophisticated ML and engineering challenges, producing training data that shows AI models how to reason consistently and reliablyGenerate annotated workflows that illustrate proficient tool interaction, from problem framing through to solution executionReview and critically evaluate AI-generated reasoning sequences, identifying gaps, errors, and opportunities for improvementProduce high-quality training datasets that directly improve LLM performance on real-world technical tasksWho You AreProfessional background in Machine Learning, Software Engineering, or a closely related technical disciplineAble to clearly articulate complex reasoning processes - you can explain not just what you did, but why, step by stepStrong critical thinker with the ability to evaluate and refine AI-generated problem-solving approachesComfortable working independently and asynchronously with minimal supervisionDetail-oriented and methodical - you care about precision and consistencyNice to HaveMaster's Degree or PhD in Machine Learning, Computer Science, or a related technical fieldPrior experience with data annotation, data quality assurance, or AI evaluation systemsFamiliarity with LLMs, prompt engineering, or AI reasoning frameworksExperience documenting technical workflows or writing technical specificationsWhy Join UsWork directly with leading AI research labs on projects shaping the next generation of AIFully remote and flexible - structure your hours around your life, not the other way aroundFreelance autonomy: choose your own pace, work asynchronously, and collaborate globallyGain deep, hands-on exposure to how frontier LLMs are built and trainedContribute to work that genuinely matters - your expertise helps make AI smarter and more reliable for everyonePotential for ongoing work and contract extension as new projects launch#J-*****-Ljbffr

Requirements

Able to clearly articulate complex reasoning processes - you can explain not just what you did, but why, step by step Strong critical thinker with the ability to evaluate and refine AI-generated problem-solving approaches Comfortable working independently and asynchronously with minimal supervision Detail-oriented and methodical - you care about precision and consistency Nice to Have Master's Degree or PhD in Machine Learning, Computer Science, or a related technical field Prior experience with data annotation, data quality assurance, or AI evaluation systems Familiarity with LLMs, prompt engineering, or AI reasoning frameworks Experience documenting technical workflows or writing technical specifications

Benefits & conditions

Work directly with leading AI research labs on projects shaping the next generation of AI Fully remote and flexible - structure your hours around your life, not the other way around Freelance autonomy: choose your own pace, work asynchronously, and collaborate globally Gain deep, hands-on exposure to how frontier LLMs are built and trained Contribute to work that genuinely matters - your expertise helps make AI smarter and more reliable for everyone Potential for ongoing work and contract extension as new projects launch #J-*****-Ljbffr

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