Backend Engineer | $150/hr Remote

Crossing Hurdles; United States; A distancia; USD 138.000 - 207.000; A tiempo parcial

Descripción de la vacante

Crossing Hurdles is seeking a Senior Software Engineer specializing in Python and TypeScript to join as a contractor on a part-time basis. You will build and refine AI data evaluation pipelines and collaborate with researchers and engineers.

We value hands-on experience with preference data collection and scalable rubric development, plus familiarity with large codebases and tools like VSCode. LinkedIn profile is mandatory for review; Microsoft exclusion applies.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

TypeScript

AI/LLM evaluation

Herramientas

VSCode

Descripción del empleo

Position: Senior Software Engineer Python / TypeScript

Type: Contractor Assignment

Compensation: $100/hr - $150/hr

Location: Remote

Commitment: Part-time(20-40 hours/week)

Role 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.

Requirements

• 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.