Systems Engineer (Coding Agent Experience)

AI Trainer Jobs

United States

Remote

USD 99,000 - 135,000

Full time

2 days ago
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Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs is seeking a Systems Engineer (Coding Agent Experience) for a remote, contractor role. You will run and reproduce candidate code outputs, grade solutions for correctness, and write minimal failing tests to demonstrate bugs. You will rank paired solutions with a clear, rubric-based rationale.

The position offers $85 per hour, remote work eligibility in the US, and requires strong testing and debugging skills along with concise, convincing written notes for senior engineers.

Qualifications

  • Ability to read, run, and debug unfamiliar code.
  • Experience writing concise unit tests that cover a single failure mode.
  • Clear, persuasive written review notes for senior engineers.
  • Available for at least 10 hours per week.
  • Familiarity with evaluating AI outputs and debugging traces.

Responsibilities

  • Run and reproduce candidate code outputs in a sandboxed environment.
  • Grade engineering review solutions for correctness, style, and edge cases.
  • Write minimal failing tests demonstrating bugs in model outputs.
  • Compare paired solutions and rank them with a written rubric.

Skills

Unit testing
Code reading
Debugging
Written reasoning
Async availability

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

Systems Engineer (Coding Agent Experience) is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.

Category: Coding, SWE & Agent Evaluation, Pay: $85 / hr, Location: Remote - US-eligible, Contractor

Systems Engineer (Coding Agent Experience) is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.

About the role

Systems Engineer (Coding Agent Experience) is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.
Engineering model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases. AuraOne pairs experienced engineers with the modeling team to grade outputs the way a code reviewer would.
Judge generated code and software engineering agents. Read their debugging traces.

Responsibilities
  • Run and reproduce candidate code outputs in a sandboxed environment for Systems Engineer (Coding Agent Experience) assignments.
  • Grade systems engineer engineering review solutions for correctness, style, and edge-case handling.
  • Write minimal failing tests that demonstrate the bug a model output missed.
  • Compare paired solutions and rank them with a written rationale tied to the rubric.
Role details

Track Code review & evaluation Work model Remote, Independent specialist contractor Compensation $85 / hr Eligible from US

What you should bring
  • Strong day-job engineering experience - you can read, run, and debug unfamiliar code for Systems Engineer (Coding Agent Experience) work.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with a testing framework. pytest, Jest, or JUnit. Go test, RSpec, or whatever you use.
  • Clear written reasoning - your review note has to convince another senior engineer.
  • Reliable async availability for at least 10 hours per week.
  • Prior code-review or technical-interview-grading experience is a plus.
Example tasks
  • Reproduce a generated engineering solution to a coding task, run the test suite, and grade it.
  • Write the smallest failing test that demonstrates a model's edge-case bug.
  • Compare two paired solutions and rank them with a written rationale tied to the rubric.
  • Triage a security issue surfaced by a model and document the patch the model should have produced.
Useful experience
  • Open-source contributions or a public portfolio that demonstrates production-quality code.
  • Experience with the target language's standard tooling, linters, and idiomatic style guides.
  • Familiarity with security-review checklists (OWASP, CWE) and AppSec patterns.
Compensation and schedule

$85 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching
  • Code review
  • Debugging
  • Unit testing
  • Software engineering judgment
  • Systems Engineer engineering review
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