Senior Python Engineer – LLM Evaluation (US-based)

Turing; United States; Remote; USD 69,000 - 96,000; Full time

Job summary

Turing, based in San Francisco, seeks a Software Engineering evaluator to create datasets for training and benchmarking large language models. You will curate code examples, provide precise solutions, and refine AI-generated code across Python and other languages, collaborating with researchers and engineering teams.

You will build verification tools in Python, support architecture design, and evaluate model capabilities through automated tasks and experiments in enterprise AI coding solutions.

Qualifications

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

Responsibilities

• Create cutting-edge datasets for training, benchmarking, and advancing large language models.
• Evaluate and refine AI-generated code for efficiency and reliability.
• Collaborate with researchers and cross-functional teams to improve enterprise AI coding solutions.
• Build agents and automated verification tools in Python to verify code quality and detect error patterns.
• Hypothesize steps in the software engineering cycle and assess model capabilities accordingly.
• Design verification mechanisms to automatically verify solutions to software tasks.

Skills

Python

JavaScript

Java

C/C++

Rust

Go

Full-stack dev

Software architecture

Code quality

Communication skills

Tools

ReactJS

Job description

Create and evaluate datasets to enhance large language model performance.

About Us

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Ideal Background

This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions - though exceptional experience and skill always take precedence over pedigree.

Project Overview

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?

• Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code to ensure that 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 that can verify the quality of code and identify error patterns.
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
• Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills

• Several years of software engineering experience (3 years or more)
• Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
• Experience building full-stack applications and deploying scalable software using modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
• Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details

• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
• Type: Contractor (no medical/paid leave)
• Duration: 1 month (potential extensions based on performance and fit)
• Location: Candidates must be based in the United States

Evaluation Process

• The application process takes 15-30 minutes.
• Completion of an AI video interview is required.

Skills:

Python, JavaScript, Java, C++, Rust