Engineer (All Domains)

AI Trainer Jobs

United States

Remote

USD 96,000 - 165,000

Part time

5 days ago
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Benefits offered by this job

Remote work
Hourly rate after interview

Job summary

AI Trainer Jobs is seeking an Engineer (All Domains) to remotely review model outputs, reproduce failures, write unit tests, and explain fixes so the modeling team can target gaps.

You will grade code quality, edge-case handling, and security concerns, write minimal failing tests, and document rationale for senior engineers. This is a contractor, hourly, with flexible scheduling, eligible from the United States.

Qualifications

  • Strong day-job engineering experience.
  • Ability to read, run, and debug unfamiliar code.
  • Experience writing concise unit tests.
  • Familiarity with a testing framework (pytest/Jest/JUnit).
  • Clear written reasoning for reviews.
  • Reliable async availability for at least 10 hours per week.
  • Prior code-review or technical interview grading is a plus.
  • Open-source contributions or public portfolio.
  • Familiarity with security-review checklists (OWASP, CWE).
  • Experience with tooling and linters in the target language.

Responsibilities

  • Run and reproduce candidate code outputs in a sandboxed environment.
  • Grade engineer solutions for correctness, style, and edge-case handling.
  • Write minimal failing tests demonstrating bugs.
  • Compare paired solutions with a written rationale tied to the rubric.
  • Tag failure modes with severity scores.
  • Triage security issues and document patches.

Skills

Engineering experience
Unit tests
Testing frameworks
Written reasoning
Async availability
Code review
Open-source
Security review

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

About the role

Engineer (All Domains) 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 Engineer (All Domains) assignments.
  • Grade 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.
  • Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.

Role details

Track Code review & evaluation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

  • Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Engineer (All Domains) 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.

Role signals

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

Hourly rate confirmed after the interview process.
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
  • Engineer engineering review

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

  • 01 Confirm profile and eligibility details.
  • 02 Attach this role deliberately.
  • 03 Receive a human review decision or follow-up.
    Placement timing depends on program demand and reviewer confirmation.
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