Find your next opportunity

Job details

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 primarily in Go, as well as in Python, JavaScript (including ReactJS), C/C++, Java, and Rust; 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? Working on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Go, along with Python, JavaScript (including ReactJS), C/C++, Java, and Rust. 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 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. 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 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.

What you’ll do

Create and refine high-quality datasets and code examples in Go and other languages to train and benchmark large language models. Collaborate with cross-functional teams to build verification agents and evaluate AI-driven coding solutions against industry benchmarks.

Requirements

Requires at least 3 years of software engineering experience with strong expertise in building scalable, production-grade full-stack applications. Must possess deep knowledge of software architecture and excellent communication skills for providing structured evaluation rationales.

Listed skills

• Go · Preferred
• React · Preferred
• JavaScript · Preferred
• Rust · Preferred
• Java · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Golang
• Python
• JavaScript
• ReactJS
• C/C++
• Java
• Rust
• Software Architecture
• Full-stack Development
• Code Review
• Debugging
• AI Model Training
• API Design
• Scalable Systems
• Technical Communication

Job areas

• Software
• Technology
• Engineering
• Science & Research
• Data & Analytics