Full Stack Engineer

Turing Enterprises, Inc.; San Francisco (CA); Presencial; USD 83.000 - 124.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

No medical or paid leave

Descripción de la vacante

Turing, based in San Francisco, seeks a Software Engineering Evaluator to create high-quality datasets for training and benchmarking large language models. You will curate code examples, provide precise solutions, and refine AI-generated code across Python and other languages, working with researchers and cross-functional teams.

As a contractor with flexible hours (10–40 hrs/week) for 1 month with potential extensions, you will evaluate code quality, build verification tools, and contribute to

Formación

• 3+ years of software engineering experience.
• Expertise in Python with production-grade software.
• Experience building full-stack apps and deploying scalable software.
• Strong understanding of architecture, design, development, debugging, and code quality.
• Excellent communication for clear evaluation rationales.

Responsabilidades

• Curate code examples and provide precise solutions for AI model training.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with researchers and cross-functional teams on AI-driven coding solutions.
• Build Python-based agents and automated verification tools to test code quality.
• Hypothesize software engineering steps and assess model capabilities accordingly.
• Design verification mechanisms to automatically verify solutions to tasks.

Conocimientos

3+ years experience

Python expertise

Full-stack development

Software architecture

Communication skills

Herramientas

ReactJS

Go

Rust

Java

C/C++

Descripción del empleo

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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 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 — primarily in Python, with additional work in 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
• Experience building full-stack applications and deploying scalable 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.