What if your deep expertise in machine learning could directly influence how the next generation of AI systems reason, plan, and solve problems? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces — the structured, step-by-step thought processes that teach large language models how to think.
This is a fully remote, flexible contract role built for senior-level ML professionals who understand model behavior from the inside out. Your work won't just describe what AI does — it will shape how AI reasons.
Author complex, high-fidelity reasoning traces that capture planning, tool use, and multi-step decision-making for sophisticated technical tasks
Design and document structured traces that demonstrate how a model should reason through real-world scenarios — not just what the answer is, but how to get there
Review and quality-check traces produced by other contributors,
ensuring clarity, logical soundness, and technical accuracy
Develop data strategies that help LLMs navigate ambiguous, multi-layered problems with reliable, consistent reasoning
Apply senior-level architectural insight to ensure traces reflect best practices in model decision-making and problem decomposition
Who You Are
Experienced in machine learning, AI research, or a closely related technical field — you understand how models learn and where they fail
Skilled at decomposing complex problems into explicit, documented, logical steps that others can follow and evaluate
Familiar with LLM training pipelines, evaluation methodologies, and the mechanics of how models develop reasoning capabilities
A precise, structured thinker who can translate expertise into high-quality written documentation
Self-directed and reliable — you produce consistent, high-quality work without hand-holding
Nice to Have
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📌 Senior Machine Learning Engineer (India)
🏢 Alignerr
📍 India
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