About the Role
What if your deep understanding of machine learning could directly influence how the next generation of AI systems reason, plan, and make decisions? We're looking for a Senior Machine Learning Expert to help build the training data that teaches large language models to think more reliably — step by step, in real-world scenarios.
This is a fully remote, flexible contract role built for senior ML practitioners who want meaningful, high-impact work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions across sophisticated technical tasks
- Design and document structured step-by-step thought processes that help AI navigate intricate, real-world problem-solving scenarios
- Review and mentor the quality of reasoning traces — ensuring logical rigor, clarity, and optimal decision-making documentation
- Develop data strategies that improve how LLMs handle ambiguity, multi-step reasoning, and tool use
- Apply senior-level architectural insight to ensure the training data you produce drives more reliable and trustworthy model behavior
Who You Are
- Experienced in machine learning, AI research, or a closely related technical discipline
- Skilled at decomposing complex problems into clear, structured, logical steps
- Deeply familiar with how large language models are trained, evaluated, and improved
- Comfortable thinking rigorously about model behavior, edge cases, and failure modes
- Detail-oriented with a consistent, methodical approach to quality
- Able to work independently and asynchronously without hand-holding
Nice to Have
- Prior experience in data annotation, data quality assurance, or AI evaluation systems
- Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating mastery of model performance and feature engineering
- Familiarity with agentic AI frameworks, tool-use architectures, or chain-of-thought prompting methodologies
- Background in NLP, reinforcement learning, or AI safety research
Why Join Us
- Work directly on cutting-edge AI projects alongside leading research labs and teams pushing the frontier of what LLMs can do
- Fully remote and async — work when and where it suits you, with no fixed hours
- Freelance autonomy with the structure of impactful, task-based work that genuinely matters
- Gain deep exposure to how frontier AI models are trained and evaluated at the highest level
- Potential for ongoing work and contract extension as new projects launch