Summary
β¨ AIβGenerated
A remote contract opportunity for machine learning professionals to help improve next-generation AI systems by creating high-quality training data, documenting reasoning processes, and solving challenging engineering problems.
Highlights
Flexible remote contract role with the opportunity to contribute to the development of advanced AI systems through expert technical reasoning and structured problem solving.
Description
Machine Learning Engineer (AI Training)
About The Role
What if your machine learning expertise could directly shape how the next generation of AI systems 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 β step by step, in real time.
This isn't a typical ML role.
You won't be tuning hyperparameters or deploying pipelines.
Instead, you'll be producing the high-quality reasoning data that teaches AI models how to think like a skilled engineer β strategically, systematically, and reliably.
This is a fully remote, flexible contract role.
Work on your own schedule, as much or as little as fits your life.
Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10β40 hours/week
What You'll Do
Tackle sophisticated ML and engineering problems while documenting your reasoning process in clear, structured logsRecord sequential decision-making workflows β how you strategize, select tools, and arrive at solutionsProduce high-quality training data that shows AI models how expert engineers approach complex technical challengesAudit and refine AI-generated reasoning steps for logical soundness and technical accuracyDemonstrate proficient tool selection and use across realistic problem scenariosWork independently and asynchronously β entirely on your own schedule
Who You Are
Professional background in Machine Learning, Software Engineering, or a related technical disciplineAble to articulate complex reasoning clearly β you can explain not just what you did, but whyStrong critical thinker who can identify gaps or errors in logical workflowsMethodical and detail-oriented β you naturally document your thinking as you workComfortable working independently on open-ended technical tasksMaster's Degree or PhD in a relevant field
Nice to Have
Experience with data annotation, data quality evaluation, or AI training pipelinesPrior work in AI research, model evaluation, or RLHF-adjacent projectsFamiliarity with LLMs and how they're trained or fine-tunedBackground in applied ML, NLP, or reasoning systems
Why Join Us
Work directly with leading AI research labs on frontier model developmentFully remote and flexible β structure your work around your life, not the other way aroundMeaningful, intellectually stimulating work at the cutting edge of AI reasoning researchGain rare, hands-on exposure to how large language models are trained and improvedFreelance autonomy with the satisfaction of contributing to genuinely impactful AI workPotential for ongoing work and contract extension as new projects launch