Senior Software Engineer – LLM Evaluation (US/Canada/WEU)

Turing Enterprises, Inc.; San Francisco (CA); Remote; USD 83,000 - 124,000; Full time

Job summary

Turing Enterprises, Inc. is seeking a Senior Software Engineer for LLM Evaluation. You will evaluate AI-generated code, build robust datasets, and collaborate with researchers to improve coding solutions across Python, JavaScript, C/C++, Java, Rust, and Go.

You will design verification mechanisms, ensure performance benchmarks, and contribute to enterprise-level AI-driven coding platforms. This role is contractor-based with flexible hours.

Qualifications

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

Responsibilities

• Evaluate and refine AI-generated code for efficiency and reliability.
• Collaborate with researchers to improve AI-driven coding solutions.
• Build agents to verify code quality and identify error patterns.
• Design verification mechanisms for software tasks.
• Support cross-functional teams with production-grade tooling.

Skills

3+ years exp

Full-stack

Architecture

Code quality

Clear comms

Contractor

US/CA/WEU

Job description

Senior Software Engineer – LLM Evaluation (US/Canada/WEU based)

Skills Python JavaScript Java C++ Rust

Overview

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.
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 in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?

• Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
• Collaborate withcross-functionalteamsto enhance AI-driven coding solutions against industry performance benchmarks.
• Build agents that can verify the quality of the 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 building full-stack applications and deploying scalable, production-grade 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.
• 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 out of US, Canada or WEU countries (Austria, Belgium, France, Germany, ...)

Evaluation Process

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