Software Engineering Specialist (AI Evaluation)

Location: Remote; eligible from the US

Salary: Hourly rate confirmed after the interview process

Company

hirify.global Human Data evaluates human data and developer-facing AI outputs for real-world correctness.

What you will do

• Run and reproduce generated code outputs in a sandboxed environment.
• Grade software engineering review solutions for correctness, style, and edge-case handling.
• Write minimal failing tests that demonstrate bugs missed by model outputs.
• Compare paired solutions, rank them against a rubric, and provide written rationales.
• 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 against gold-standard reviews to maintain inter-rater agreement above target.

Requirements

• Strong day-job 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 sufficient to convince another senior engineer.
• Reliable async 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 security-review checklists, including OWASP and CWE, and AppSec patterns.

Culture & Benefits

• Independent specialist contractor arrangement.
• Remote work with async availability.
• Program-defined task volume and review pacing.
• Placement depends on current program demand and reviewer confirmation.

Hiring process

• Confirm profile and eligibility details during specialist intake.
• Attach the role deliberately and submit the application to the recruiting team.
• Receive further contact if the profile fits a current program; placement timing depends on program demand and reviewer confirmation.