Senior Machine Learning Engineer

Senior Machine Learning Engineer (AI Data Trainer) About The Role What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces that train large language models to think more reliably in real-world scenarios. This is a fully remote, flexible contract role built for experienced ML practitioners who understand how models learn — and want to influence that process at its core. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Author complex, high-fidelity reasoning traces that capture step-by-step planning, tool use, and decision-making for sophisticated technical tasksDesign and document structured traces that show how an LLM should navigate real-world problem-solving scenariosReview and mentor the quality of reasoning traces to ensure optimal clarity, logical flow, and technical accuracyDevelop data strategies that help LLMs handle intricate, multi-step challenges with greater reliabilityApply senior-level architectural insight to ensure traces reflect sound model reasoning principlesWork independently and asynchronously — fully on your own schedule Who You Are Experienced machine learning practitioner with a strong focus on model reasoning, planning, and decision-makingProven ability to decompose complex problems into clear, logical, well-documented stepsDeep familiarity with LLM evaluation and training methodologiesSystematic and detail-oriented — you think carefully about how reasoning should be structured and communicatedStrong written communicator who can translate complex technical logic into readable, structured documentationSelf-motivated and reliable when working independently Nice to Have Prior experience with data annotation, data quality assurance, or evaluation systemsTop-tier Kaggle competition results (Grandmaster or Master level) — a strong signal of deep understanding of model performance and feature engineeringBackground in AI safety, interpretability, or alignment-adjacent researchExperience designing training data pipelines or annotation frameworks Why Join Us Work directly with teams building cutting-edge AI at leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact technical workGain rare, hands-on insight into how frontier LLMs are trained to reasonContribute to work that meaningfully improves how AI systems make decisions at scalePotential for ongoing work and contract extension as new projects launch