AI Software Engineering Domain Expert

Location: Remote; eligible from the United States.

Company

hirify.global runs a human-data program for evaluating AI-generated software engineering outputs.

What you will do

• Run and reproduce generated code outputs in a sandboxed environment.
• Evaluate software engineering agents and grade solutions for correctness, style, and edge-case handling.
• Write minimal failing unit tests that demonstrate missed bugs.
• Compare paired solutions and rank them with written rationale tied to the rubric.
• Tag failure modes such as compile errors, runtime crashes, off-by-one errors, and security issues with severity scores.
• Document recurring code-generation failures and calibrate reviews against gold-standard examples to maintain inter-rater agreement.

Requirements

• Strong professional engineering experience with the ability to read, run, and debug unfamiliar code.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework such as pytest, Jest, JUnit, Go test, or RSpec.
• Clear written reasoning suitable for review by another senior engineer.
• Reliable asynchronous availability for at least 10 hours per week.

Nice to have

• Prior code-review or technical-interview-grading experience.
• Open-source contributions or a public portfolio demonstrating production-quality code.
• Experience with standard tooling, linters, and idiomatic style guides for the target language.
• Familiarity with OWASP, CWE, security-review checklists, and application-security patterns.

Culture & Benefits

• Remote work as an independent specialist contractor.
• Program-defined task volume and review pacing.
• Hourly rate confirmed after the interview process.
• Placement depends on current program demand and reviewer confirmation.

Hiring process

• Submit the application for direct review by the recruiting team.
• Confirm profile and eligibility details during specialist intake.
• Placement follows human review and depends on program demand and reviewer confirmation.