Software Engineer – AI Research & Evaluation (US-based)

HumanitApp; San Francisco (CA); Presencial; USD 83.000 - 138.000; A tiempo parcial

Descripción de la vacante

Turing, based in San Francisco, seeks a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models. You will work with researchers to curate code examples, provide precise solutions, and fix issues across the full stack.

Evaluate AI-generated code for backend and frontend, design verification mechanisms, and partner with teams to improve AI-driven coding solutions.

Formación

• Several years of software engineering experience (3+ years).
• Experience deploying scalable, production‑grade software.
• Excellent written and verbal communication for clear evaluation rationales.

Responsabilidades

• Evaluate AI-generated code across backend and frontend contexts.
• Collaborate with researchers to curate datasets and provide precise solutions.
• Identify errors and propose corrections across the full-stack.

Conocimientos

Software engineering

Code quality

Backend/frontend

Communication

Descripción del empleo

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

Create datasets and evaluate AI-generated code for full-stack applications.

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 top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, 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

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

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

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

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