Senior Fullstack Engineer (AI Evaluation)

Location: Remote; eligible from the United States

Company

hirify.global Human Data works with experienced engineers and modeling teams to evaluate production code and developer-facing AI outputs.

What you will do

• Run and reproduce generated code outputs in a sandboxed environment.
• Evaluate full-stack engineering solutions for correctness, style, edge-case handling, compilation, and test behavior.
• Write minimal failing unit tests that demonstrate missed bugs.
• Compare paired solutions, rank them against a rubric, and provide written rationale.
• 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

• Senior-level 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 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.
• Contractor arrangement with program-defined task volume and review pacing.
• Async availability of at least 10 hours per week.
• Placement depends on current program demand and reviewer confirmation.

Hiring process

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