Software Engineer, Data Platforms

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

Job summary

AI Trainer Jobs is seeking a skilled Software Engineer, Data Platforms reviewer on a remote contract. You will evaluate production code, reproduce failures, and write unit tests to guide model improvements. Collaboration with modeling and engineering teams is essential to close gaps in correctness.

The role emphasizes precise test writing, clear rationale, and independent work in a sandboxed environment, with hourly compensation and US-eligible remote work.

Qualifications

• Reading, running, and debugging unfamiliar code.
• Writing concise unit tests to capture a single failure mode.
• Clear, well-reasoned notes to convince a senior engineer.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment.
• Grade cloud & platform engineering 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.
• Triage a security issue surfaced by a model and document the patch the model should have produced.

Skills

Code reading

Unit testing

Debugging

Testing frameworks

Cloud & platform engineering

Software engineering judgement

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

Software Engineer, Data Platforms 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 Engineer, Data Platforms 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 Engineer, Data Platforms 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 Engineer, Data Platforms assignments.
• Grade cloud & platform engineering 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 Engineer, Data Platforms 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
• Cloud & platform engineering
• Software engineering