Remote Full Stack Developer

HumanitApp; San Francisco (CA); Remote; USD 55,000 - 124,000; Part time

Job summary

Turing, based in San Francisco, is seeking a Software Engineering Evaluator contractor to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples, provide precise solutions, and correct across the full stack.

Daily work includes evaluating AI-generated code across backend and frontend, collaborating with researchers, and building verification mechanisms to assess software engineering tasks.

Qualifications

• 3+ years of software engineering experience.
• Experience deploying scalable, production-grade software.
• Deep understanding of software architecture, design, development, debugging and code quality.
• Excellent oral and written communication skills for clear evaluation rationales.

Responsibilities

• Evaluate AI-generated code across backend and frontend contexts for efficiency and scalability.
• Collaborate with researchers to improve AI-driven coding solutions against benchmarks.
• Build verification mechanisms to automatically assess solutions and identify error patterns.

Skills

Software engineering

Production-grade systems

Code quality & review

Strong communication

Job description

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

Create and refine full-stack solutions for AI model training and evaluation.

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 shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. 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

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 across the full stack

What Does a Typical Day Look Like?

Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications.

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)
• Experience 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