Senior Software Engineer – LLM Evaluation

HumanitApp; California; On-site; USD 83,000 - 124,000; Part time

Job summary

Turing, based in San Francisco, seeks a contractor to evaluate and refine AI-generated code for efficiency and reliability. You will collaborate with cross‑functional teams to improve AI‑driven coding solutions, build agents to verify code quality, and reason through software engineering steps from prototyping to production.

The role requires several years in software engineering, deep full‑stack expertise, and strong communication skills. Contract is 1 month with flexible weekly hours.

Qualifications

• Several years of software engineering experience, including 2+ years at a top‑tier product company.
• Strong expertise in building full‑stack applications and deploying scalable, production‑grade software.
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
• Excellent oral and written communication skills for clear evaluation rationales.

Responsibilities

• Evaluate and refine AI-generated code to ensure efficiency, scalability, and reliability.
• Collaborate with cross‑functional teams to enhance AI‑driven coding solutions against industry performance benchmarks.
• Build agents that verify code quality and identify error patterns.
• Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms to automatically verify solutions to software tasks.

Skills

Full-stack development

Software architecture

Code quality & reviews

Debugging

Clear communication

Job description

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

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 coding, 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

Role Overview

What does day-to-day life look like?

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 that can verify the quality of the code and identify error patterns.

Hypothetize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operation maintenance) and evaluate model capabilities on them

Design verification mechanisms that can automatically verify a solution to a software engineering task.

Requirements

Several years of software engineering experience, including 2+ years of continuous full‑time experience at a top‑tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).

Strong expertise in building full‑stack applications 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 (partial PST overlap required)

Type

Contractor (no medical/paid leave)

Duration

1 month (starting next week; potential extensions based on performance and fit)

Location

Candidates must be based in the United States · Work type not specified