Senior AI Data Pipeline Engineer (Remote, Part-Time)

Crossing Hurdles

United States

Remoto

CAD 170.000 - 243.000

Part-time

5 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Crossing Hurdles is seeking a Senior Software Engineer proficient in Python and TypeScript for a contractor role. This remote, part-time position requires 20 hours per week with at least 4 hours overlap during PST business hours.

The role emphasizes building pipelines, data collection, rubric development, and scalable evaluation processes. You will collaborate with researchers and engineers to translate qualitative judgments into robust, repeatable workflows, and you'll document technical

Competenze

  • 5+ years of experience with Python, TypeScript, Golang, or JavaScript, particularly building and maintaining pipelines or infrastructure.
  • Hands-on experience with preference data collection and/or rubric creation.
  • Experience navigating or contributing to large codebases; experience with codebases such as VSCode is a plus.
  • Experience with AI/LLM evaluation or related engineering workflows is preferred.
  • LinkedIn profile is mandatory for review.
  • Candidates should not currently be working with Microsoft.

Mansioni

  • Build and maintain pipelines and infrastructure supporting AI data generation, collection, and evaluation workflows.
  • Design, refine, and iterate on rubrics and evaluation criteria for preference data.
  • Review and label preference data while identifying subtle quality issues.
  • Collaborate with researchers and engineers to translate qualitative judgment into scalable evaluation processes.
  • Synthesize technical findings into clear, actionable write-ups, updates, and recommendations.

Conoscenze

Python
TypeScript
Golang
JavaScript
Pipelines

Descrizione del lavoro

Crossing Hurdles is seeking a Senior Software Engineer proficient in Python and TypeScript for a contractor role. This remote, part-time position requires 20 hours per week with at least 4 hours overlap during PST business hours.

The role emphasizes building pipelines, data collection, rubric development, and scalable evaluation processes. You will collaborate with researchers and engineers to translate qualitative judgments into robust, repeatable workflows, and you'll document technical

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