Machine Learning Engineer

Machine Learning Engineer (AI Data Trainer) About The Role What if your deep technical expertise could directly shape how the next generation of AI models reason, plan, and solve real-world problems? We're looking for Machine Learning Engineers to help train and improve large language models by demonstrating how expert-level thinking actually works — step by step, tool by tool, decision by decision. This is a fully remote, flexible contract role designed for experienced technical professionals who know how to break down complex problems and explain their reasoning with precision. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Construct detailed, structured reasoning logs that walk through how sophisticated technical problems are approached and solved Document sequential decision-making workflows — capturing how tools are selected, applied, and evaluated at each step Generate high-quality training datasets that demonstrate proficient, expert-level problem-solving for AI models Audit and refine AI-generated reasoning traces to ensure logical consistency and technical accuracy Translate complex methodologies into clearly articulated, reproducible workflows Who You Are Professionally experienced in Machine Learning, Software Engineering, or a related technical discipline Exceptionally clear at explaining intricate technical processes — you can make complex reasoning legible A rigorous critical thinker who can identify gaps, errors, or inefficiencies in AI-generated reasoning Comfortable working independently and asynchronously on task-based assignments Holds or is pursuing a Master's Degree or PhD in a relevant field Nice to Have Prior experience with data annotation, data quality assurance, or AI evaluation systems Familiarity with LLM behavior, prompt engineering, or model evaluation methodologies Background in technical writing, research documentation, or structured problem-solving frameworks Experience working across multiple ML domains — NLP, computer vision, reinforcement learning, etc. Why Join Us Work directly with leading AI research labs on projects at the frontier of model development Fully remote and async — work when and where it suits you, with no fixed hours Freelance autonomy with meaningful, intellectually engaging work Gain rare, hands-on insight into how cutting-edge LLMs are trained and improved Potential for ongoing work and contract extension as new projects launch

Construct detailed reasoning logs and high-quality training datasets to improve the reasoning and problem-solving capabilities of large language models. Audit AI-generated traces to ensure technical accuracy and logical consistency.

Requires professional experience in Machine Learning or Software Engineering with a strong ability to explain complex technical processes. A Master's degree or PhD in a relevant field is preferred or currently being pursued.

• Freelance Autonomy • Flexible Hours • Remote Work

• Résolution de problèmesSouhaitée
• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Software Engineering
• Technical Writing
• Data Annotation
• Prompt Engineering
• Model Evaluation
• NLP
• Computer Vision
• Reinforcement Learning
• Problem Solving
• Critical Thinking
• Data Quality Assurance

• Technology
• Software
• Data & Analytics
• Engineering
• Science & Research

Formation minimale

Maîtrise

Expérience minimale

2+ ans

Postuler avant le

5 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Toronto, Ontario, Canada

Niveau d’expérience

Entry level