Python AI evaluation engineering for Turing supports preference data, rubric design, and quality-focused model development. This fully remote contract emphasizes explicit technical judgment.

Turing seeks an engineer experienced with Python pipelines or TypeScript codebases. You will shape evaluation criteria, review preference data, and turn technical findings into actionable communication. The work supports training data, evaluations, and engineering workflows for frontier AI labs.

Key Responsibilities:

- Design and refine rubrics for preference data evaluation
- Review and label data while catching subtle quality issues
- Build pipelines supporting data generation and evaluation workflows
- Synthesize findings into clear updates and recommendations
- Translate qualitative judgment into scalable processes

Requirements:

- Proficiency in Python for pipelines and infrastructure
- Hands-on preference data collection or rubric creation experience
- Strong written and verbal communication skills
- Ability to articulate why work demonstrates high quality
- Availability for remote contract collaboration

Use Python, evaluation judgment, and preference data experience to improve Turing's AI development workflows remotely.

📌 Python AI Evaluation Engineer (Toronto)
🏢 Turing
📍 Toronto