Software Engineering Expert (Super Star Program)

AI Trainer Jobs; United States; Remote; USD 165,000 - 193,000; Full time

Job summary

AI Trainer Jobs seeks a Software Engineering Expert for the Super Star Program. The role is remote and focuses on evaluating production code, debugging traces, and developer-facing AI outputs for real-world correctness.

Reviewers reproduce failures, draft unit tests, and explain fixes to guide the modeling team. Responsibilities include reproducing candidate code in a sandbox, grading solutions for correctness and style, and writing minimal failing tests.

Qualifications

• Ability to read, run, and debug unfamiliar code for evaluation tasks.
• Experience writing concise unit tests that capture edge cases.
• Clear written reasoning to justify review conclusions.

Responsibilities

• Run and reproduce candidate code around the Super Star Program tasks.
• Grade software engineering solutions for correctness, style, and edge-case handling.
• Write minimal failing tests that demonstrate model bugs.
• Compare paired solutions and provide rationale based on rubric.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

Review AI outputs

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

Software Engineering Expert (Super Star Program) 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: $130 / hr Location: Remote — US-eligible Contractor

Software Engineering Expert (Super Star Program) is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards.

About the role

Software Engineering Expert (Super Star Program) 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 Software Engineering Expert (Super Star Program) assignments.
• Grade software engineering 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 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 Software Engineering Expert (Super Star Program) 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

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
• Software Engineering engineering review
• Software engineering

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.