Job Description

Salary: $? - ? per year Requirements:

• 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.

Responsibilities:

• 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 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — 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?
• Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
• 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.

Technologies:

• AI
• API
• Backend
• Java
• JavaScript
• Python
• Rust
• FastAPI

More:

Engagement Details:
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.

last updated 19 week of 2026

Job Tags

Contract work, For contractors, Flexible hours

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