Senior Python Engineer – LLM Evaluation (US-based)

HumanitApp; San Francisco (CA); On-site; USD 83,000 - 124,000; Part time

Job summary

Turing, based in San Francisco, CA, seeks a Software Engineering evaluator for contract work to create cutting‑edge datasets for training large language models. You will curate code examples, provide precise solutions, and correct code in collaboration with researchers.

The role focuses on evaluating AI-generated code for efficiency, scalability, and reliability, building Python‑based verification tools, and documenting clear evaluation rationales for stakeholder reviews.

Qualifications

• Several years of software engineering experience (3+ years).
• Strong Python expertise with production systems.
• Excellent written and verbal communication for evaluation rationales.

Responsibilities

• Create and refine Python solutions for training large language models.
• Curate code examples and provide precise solutions.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Build agents and automated verification tools in Python for code quality checks.

Skills

Python

Production-grade

Full-stack

Software design

Code quality

Communication

Tools

Docker

Kubernetes

Job description

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

Create and refine Python solutions for training large 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 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

What Does a Typical Day Look Like?

• Work 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 and automated verification tools in Python that can verify the quality of 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 Python with deep knowledge of frameworks, tooling, and best practices for building production‑grade software.
• Experience building full‑stack applications and deploying scalable 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