Backend Engineer (Coding Agent Experience)

Location: Remote, eligible from the United States

Salary: $85 per hour

Company

hirify.global Human Data pairs experienced engineers with a modeling team to evaluate generated software engineering outputs and improve AI model quality.

What you will do

• Run and reproduce generated backend code in a sandboxed environment.
• Grade backend engineering 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 rationales 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 evaluations.

Requirements

• Strong day-job engineering experience, including 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, or application-security patterns.

Culture & Benefits

• Remote work as an independent specialist contractor.
• Program-defined task volume and review pacing.
• Expected availability of at least 10 hours per week.
• Placement depends on current program demand and reviewer confirmation.

Hiring process

• Submit the application form directly to the recruiting team for the specialist cohort.
• Complete human review after intake and confirm profile and eligibility details.
• Placement follows role attachment and reviewer confirmation if the profile fits a current program.