Machine Learning Engineer

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 — 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 — 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: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• 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

• Professional background in Machine Learning, Software Engineering, or a related technical discipline
• Able to articulate complex reasoning clearly — you can explain not just what you did, but why
• Strong critical thinker who can identify gaps or errors in logical workflows
• Methodical and detail-oriented — you naturally document your thinking as you work
• Comfortable working independently on open-ended technical tasks
• Master's Degree or PhD in a relevant field

• Experience with data annotation, data quality evaluation, or AI training pipelines
• Prior work in AI research, model evaluation, or RLHF-adjacent projects
• Familiarity with LLMs and how they're trained or fine-tuned
• Background in applied ML, NLP, or reasoning systems

• Work directly with leading AI research labs on frontier model development
• Fully remote and flexible — structure your work around your life, not the other way around
• Meaningful, intellectually stimulating work at the cutting edge of AI reasoning research
• Gain rare, hands-on exposure to how large language models are trained and improved
• Freelance autonomy with the satisfaction of contributing to genuinely impactful AI work
• Potential for ongoing work and contract extension as new projects launch