Alignerr

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer (AI Training) position, offering a flexible hourly contract (10–40 hours/week) at a competitive pay rate. Remote work is available. Candidates should have a Master's or PhD in a relevant field and strong critical thinking skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cambridge, England, United Kingdom
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🧠 - Skills detailed
#Model Evaluation #Data Quality #AI (Artificial Intelligence) #ML (Machine Learning) #NLP (Natural Language Processing)
Role 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 — 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 What You'll Do • 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 Who You Are • 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 Nice to Have • 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 Why Join Us • 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