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[Remote] Data Scientist | Remote

100% Remote Full-time Open now

Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking a Data Scientist to join their team. The role involves owning research and evaluation initiatives, designing machine learning-oriented data systems, and collaborating with cross-functional teams to translate research progress into clear narratives.

Responsibilities

  • Own research and evaluation initiatives end-to-end, including problem framing, data design, quality calibration, and signal validation
  • Design machine learning-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance
  • Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement
  • Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories
  • Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance
  • Partner with cross-functional teams to translate research progress into clear, credible narratives grounded in evidence

Skills

  • Have strong judgment around research signal quality and when work is ready to be externalized
  • Have experience designing machine learning-oriented datasets, evaluation frameworks, and quality assurance processes
  • Possess the ability to translate messy, real-world system behavior into structured research and evaluation opportunities
  • Be comfortable operating in ambiguity, with a bias toward ownership and decisive action
  • Have clear written and verbal communication skills, especially when explaining tradeoffs and limitations to stakeholders

Company Overview

  • Crossing Hurdles connects skilled professionals with opportunities across AI training platforms and high-growth companies. It was founded in 2019, and is headquartered in Gurgaon, Haryana, IND, with a workforce of 51-200 employees. Its website is https://www.crossinghurdles.com.
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