Remote Full Stack Engineer

HumanitApp; United States; Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Remote contracting

Job summary

Turing is seeking a contractor in the United States to evaluate and refine AI-generated code, focusing on systems-level correctness, performance, and reliability. This role requires deep experience with backend or infrastructure code and the ability to produce clear evaluation rationales.

You will collaborate with cross-functional teams, build verification agents, and outline steps in the software engineering cycle to assess model capabilities.

Qualifications

• 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.
• Excellent oral and written communication skills for clear, structured evaluation rationales.
• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.

Responsibilities

• 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.

Job description

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

Create and evaluate code examples for training AI language models.

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 programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions

though exceptional experience and skill always take precedence over pedigree.

Project Overview

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?

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 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.

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.

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 in the United States

Remote · Country eligibility: check the official listing · Work type not specified