Senior JavaScript/React Engineer – AI Training (US-based)

HumanitApp; United States; Remote; USD 83,000 - 138,000; Part time

Job summary

Turing, based in San Francisco, is seeking contractors to curate and evaluate AI-generated code for training advanced AI models. You will work on systems-level code, performance-critical applications, and infrastructure, collaborating with cross-functional teams to refine enterprise-level AI coding solutions.

The role emphasizes evaluating AI-generated code for efficiency, scalability, and reliability, building verification mechanisms, and contributing to the software engineering lifecycle.

Qualifications

• 3+ years of software engineering experience.
• Experience in systems programming, infra or backend development.
• Proficient in Python, C/C++, Rust, or Go.
• Experience delivering production-grade software.
• Excellent written and spoken communication.
• Contract role with 10–40 hrs/week.
• Based in the United States.

Responsibilities

• Evaluate and refine AI-generated code for efficiency, scalability and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions.
• Build agents that verify quality of systems-level and infrastructure code.
• Hypothesize steps in the software engineering cycle and assess model capabilities.

Skills

Systems programming

Backend development

Python

C/C++

Rust

Go

Software architecture

Communication skills

Contract work

Job description

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

Curate and evaluate code for training advanced AI 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 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

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.