AI Data Engineer - 17852

Role Overview:

We’re looking for experienced AI data engineers skilled in Python to collaborate with one of the world’s top Large Language Model (LLM) companies. Your work will directly help improve how AI models think, reason, and code.

In this role, you’ll generate and evaluate high-quality data used to fine-tune and benchmark LLMs. You’ll design prompts, analyze model outputs, write Python solutions, and provide detailed feedback that guides model improvements. This is a unique opportunity to contribute to the next generation of AI systems—without needing to train or build the models yourself.

You’ll:

• Write and maintain clean, efficient Python code for AI training and evaluation.
• Evaluate and compare model responses as part of RLHF (Reinforcement Learning with Human Feedback).
• Create and refine datasets for SFT (Supervised Fine-Tuning).
• Develop reasoning-based feedback to enhance model accuracy and alignment.
• Collaborate with cross-functional teams to ensure high-quality data and evaluations.

Requirements:

• 3+ years of strong Python development experience.
• Solid understanding of testing, debugging, async programming, and software best practices.
• Excellent written and verbal communication in English.

Offer Details:

• Commitment: Minimum 20 hrs/week (options for 20, 30, or 40 hrs).
• Time Zone: 4-hour overlap with PST.
• Contract: 1-month contractor role (no paid leave).
• Evaluation: 2 interview rounds (~75 mins total).
• Start: Expected next week.

Perks:

• 100% remote work.
• Collaborate with leading LLM and AI research teams.
• Work on real-world AI challenges shaping the future of intelligent systems.

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.