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

Turing; India; Remote; INR 3,881,000 - 7,761,000; Part time

Benefits offered by this job

Flexible hours

Contractor engagement

1 month duration

Job summary

Turing is seeking a Software Engineering Evaluator to help build cutting-edge datasets for training and benchmarking AI models. You will curate code examples across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go, provide precise solutions, and refine AI-generated code for performance and reliability.

Collaborate with researchers to advance enterprise AI-driven coding solutions, build verification mechanisms, and contribute to the software engineering cycle from prototyping to production.

Qualifications

• Several years of software engineering experience (3+ years)
• Strong expertise in building full-stack applications and deploying scalable, production-grade software
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment
• Excellent oral and written communication skills for clear, structured evaluation rationales

Responsibilities

• Curate code examples for training datasets and benchmarks
• Provide precise solutions and corrections in Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability
• Collaborate with researchers and cross-functional teams to improve enterprise AI-driven coding solutions
• Build verification mechanisms to automatically verify solutions to software tasks

Job description

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?

Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, 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 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.