Software Developer ($200/hr)

Turing Enterprises, Inc.; Austin (TX); Remote; USD 83,000 - 124,000; Part time

Job summary

Turing is seeking a Software Engineering evaluator to join our research-accelerator team. You will create cutting-edge datasets for training and benchmarking large language models, curate code examples, provide precise solutions, and refine AI-generated code across Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

You will work with researchers and cross-functional teams to build enterprise-grade AI-driven coding solutions, verify code quality, identify error patterns, and

Qualifications

• 3+ years of software engineering experience.
• 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.

Responsibilities

• Curate code examples and build solutions across Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
• Build agents that verify code quality and identify error patterns.
• Hypothesize steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms that automatically verify solutions to software engineering tasks.

Skills

Software engineering

Full-stack development

Code quality/review

Communication skills

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:

• 3+ years of software engineering experience.
• 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 (partial PST overlap required).
• Type: Contractor (no medical/paid leave).
• Duration: 1 month (starting next week; potential extensions based on performance and fit).
• Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany).

Note:

As part of assessments you will go through an AI video interview.