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; We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
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.
Several years of software engineering experience (3 years or more)
Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
Experience building and deploying scalable, production-grade software using modern languages and tools.
Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
Type: Contractor (no medical/paid leave)
Completion of an AI video interview is required.
Note: As part of assessments you will go through an AI video interview.
or continue with email
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, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
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.
Several years of software engineering experience (3 years or more)
Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
Experience building and deploying scalable, production-grade software using modern languages and tools.
Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
Type: Contractor (no medical/paid leave)
Completion of an AI video interview is required.
Note: As part of assessments you will go through an AI video interview.
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
