Remote Python AI Engineer - Production Systems

Turing Enterprises, Inc.; San Francisco (CA); Remote; USD 96,000 - 165,000; Part time

Job summary

Turing Enterprises, Inc. in San Francisco is seeking a Software Engineering Evaluator to create high-quality datasets for training and benchmarking large language models.

You will curate code examples and precise solutions, primarily in Python, spanning backend services, data pipelines, and ML infrastructure. You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and cross-functional teams to improve AI-driven coding solutions.

Qualifications

• 3+ years of software engineering experience.
• Strong Python expertise with production-grade software.
• Experience building full-stack apps and deploying scalable software.
• Deep understanding of software architecture, design, development, debugging, and code quality.

Responsibilities

• Create cutting-edge datasets for training and benchmarking large language models, focusing on Python across backend services, data pipelines, and ML infrastructure.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with researchers and cross-functional teams to enhance AI-driven coding solutions.
• Build agents and automated verification tools in Python to verify code quality and identify error patterns.
• Design verification mechanisms to automatically verify solutions to software engineering tasks.

Skills

Python

Backend/Full-stack

Code quality

Documentation

Tools

ReactJS

C/C++

Java

Rust

Go

Job description

Turing Enterprises, Inc. in San Francisco is seeking a Software Engineering Evaluator to create high-quality datasets for training and benchmarking large language models.

You will curate code examples and precise solutions, primarily in Python, spanning backend services, data pipelines, and ML infrastructure. You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and cross-functional teams to improve AI-driven coding solutions.