Rust Developer – AI Training & Code Evaluation

HumanitApp; San Francisco (CA); Hybrid; USD 96,000 - 165,000; Full time

Benefits offered by this job

Contractor engagement (no medical/paid

Job summary

Turing, based in San Francisco, California, seeks contractors to curate and evaluate code for AI training datasets. You will work on AI model training initiatives, focusing on refining Rust-based code, ensuring efficiency, scalability, and reliability, and collaborating with cross-functional teams.

The role requires several years of software engineering experience, strong full-stack capabilities, and excellent communication. Engagement is flexible, with 10–40 hours per week for a 1-month term.

Qualifications

• Several years of software engineering experience (3 years or more).
• Strong expertise in building full-stack applications and deploying scalable software.
• Excellent written and oral communication for clear evaluation rationales.

Responsibilities

• Curate and evaluate code in Rust to enhance AI training datasets.
• Evaluate and refine AI-generated code for efficiency and scalability.
• Collaborate with cross-functional teams to improve AI-driven coding solutions.
• Build agents to verify code quality and identify error patterns.
• Model scenarios across the software engineering lifecycle and test capabilities.

Skills

Software engineering

Full-stack development

Code evaluation

Clear communication

Flexible engagement

Job description

Future projects, not immediate vacancies. Check each network's country and experience requirements.

Curate and evaluate code in Rust to enhance AI training datasets.

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

What Does a Typical Day Look Like?

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

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.

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.

Source: Turing official job description, checked 2026-11-09. Turing decides selection and final terms. Referral rewards are separate from applicant compensation.

Compensation context

Compensation is not stated in the current feed. Confirm the rate and workload before accepting an assessment or project.

• Location: candidates must be based out of US, Canada or WEU countries (Austria, Belgium, France, Germany, ...)