Remote AI Systems Engineer — Contractor

HumanitApp; United States; Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Remote contracting

Job summary

Turing is seeking a contractor in the United States to evaluate and refine AI-generated code, focusing on systems-level correctness, performance, and reliability. This role requires deep experience with backend or infrastructure code and the ability to produce clear evaluation rationales.

You will collaborate with cross-functional teams, build verification agents, and outline steps in the software engineering cycle to assess model capabilities.

Qualifications

• 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.
• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.

Responsibilities

• 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.

Job description

Turing is seeking a contractor in the United States to evaluate and refine AI-generated code, focusing on systems-level correctness, performance, and reliability. This role requires deep experience with backend or infrastructure code and the ability to produce clear evaluation rationales.

You will collaborate with cross-functional teams, build verification agents, and outline steps in the software engineering cycle to assess model capabilities.