JavaScript Developer

Turing; Chicago (IL); On-site; USD 83,000 - 124,000; Full time

Job summary

Turing, based in San Francisco, CA, seeks a Software Engineering evaluator to create cutting-edge datasets for training large language models. You will curate code examples and provide precise solutions in Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS), focusing on systems-level code, performance, and reliability.

Daily work includes evaluating AI‑generated code, collaborating with researchers and cross‑functional teams to enhance enterprise AI‑driven coding solutions, and building

Qualifications

• 3+ years of software engineering experience.
• Expertise in systems programming, infrastructure, or backend development.
• Experience building scalable, production‑grade software.
• Deep understanding of software architecture, design, debugging, and code quality.
• Excellent written and spoken communication for clear, structured evaluation rationales.

Responsibilities

• Work on AI model training initiatives by curating code examples and building solutions in multiple languages.
• Evaluate and refine AI‑generated code focusing on systems‑level correctness and performance.
• Collaborate with cross‑functional teams to enhance AI‑driven coding solutions against benchmarks.
• Build agents that verify quality of systems‑level and infrastructure code and identify error patterns.
• Hypothesize on software engineering cycle steps and evaluate model capabilities accordingly.
• Design verification mechanisms to automatically verify software engineering task solutions.

Skills

Systems programming

Backend development

Languages: JS, Python, C/C++, Rust, Go

ReactJS

Code quality & reviews

Education

3+ years of software engineering experience

Tools

ReactJS

Git

CI/CD

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.

Ideal Background:

This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. 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. 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).


• Evaluate and refine AI‑generated code with an emphasis on systems‑level correctness, performance, and reliability.


• Collaborate with cross‑functional teams to enhance AI‑driven coding solutions against industry performance benchmarks.


• Build agents that can verify the quality of systems‑level and infrastructure 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 systems programming, infrastructure, or backend development using languages like JS, 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.


• 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.