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

Crossing Hurdles; United States; Remote; CAD 241,000 - 343,000; Part time

Job summary

Crossing Hurdles is seeking a Senior Software Engineer to work remotely as a contractor for 20 hours per week, with at least 4 hours overlap during PST business hours. The role focuses on building pipelines for AI data generation and evaluation, leveraging Python/TypeScript and related tech in a distributed team.

The ideal candidate has 5+ years of experience with Python and TypeScript, hands-on data collection or rubric creation, and familiarity with large codebases.

Qualifications

• 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.
• A LinkedIn profile is mandatory for review.
• Candidates should not currently be working with Microsoft.

Responsibilities

• 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.

Skills

Python

TypeScript

Golang

JavaScript

Data pipelines

Tools

VSCode

Job description

Crossing Hurdles is seeking a Senior Software Engineer to work remotely as a contractor for 20 hours per week, with at least 4 hours overlap during PST business hours. The role focuses on building pipelines for AI data generation and evaluation, leveraging Python/TypeScript and related tech in a distributed team.

The ideal candidate has 5+ years of experience with Python and TypeScript, hands-on data collection or rubric creation, and familiarity with large codebases.