MLOps Engineer, LLM Performance (Kernels, Profiling, Serving)

Location: Remote; US eligibility required

Salary: $90–$120 per hour

Company

hirify.global Human Data evaluates production code, debugging traces, and developer-facing AI outputs against real-world correctness standards.

What you will do

• Run and reproduce generated code outputs in a sandboxed environment and execute test suites.
• Grade MLOps, LLM performance, kernels, profiling, and serving engineering solutions for correctness, style, and edge-case handling.
• 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.

Requirements

• Strong professional engineering experience, including the ability to read, run, and debug unfamiliar code.
• Ability to write 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 and CWE security-review checklists and application-security patterns.

Culture & Benefits

• Remote independent specialist contractor arrangement.
• Async work with program-defined task volume and review pacing.
• Placement depends on current program demand and reviewer confirmation.
• Compensation is paid at an hourly rate of $90–$120.

Hiring process

• Confirm profile and eligibility details.
• Attach the role to the specialist intake deliberately.
• Receive follow-up from the team if the profile fits a current program.