Experienced Full-Stack Python Engineer for AI

Turing

Greater London

Remote

GBP 62,000 - 125,000

Part time

3 days ago
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Job summary

Turing Enterprises, Inc. is seeking a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models.

You will curate Python-based code examples and provide precise solutions, working with researchers to improve enterprise-level AI coding solutions. The role emphasizes Python across backend services, data pipelines, and ML infrastructure, with additional work in ReactJS, C/C++, Java, Rust, and Go.

Qualifications

  • This role requires 3+ years of software engineering experience.
  • Strong Python expertise with production-grade practices and tooling.
  • Experience building full-stack applications and deploying scalable software.
  • Deep understanding of software architecture, design, debugging, and code quality.
  • Excellent oral and written communication for clear evaluation rationales.

Responsibilities

  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript/React, C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents and automated verification tools in Python to verify code quality and identify error patterns.
  • Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them.

Skills

Python
JavaScript/React
C/C++
Java
Rust
Go

Education

Top CS program graduates (e.g., Stanford/MIT/CMU/UC Berkeley/Georgia Tech)

Tools

ReactJS

Job description

Turing Enterprises, Inc. is seeking a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models.

You will curate Python-based code examples and provide precise solutions, working with researchers to improve enterprise-level AI coding solutions. The role emphasizes Python across backend services, data pipelines, and ML infrastructure, with additional work in ReactJS, C/C++, Java, Rust, and Go.

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