Data Engineer (Coding Agent Experience)

AI Trainer Jobs; United States; Remote; USD 96,000 - 124,000; Part time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs seeks a Data Engineer (Coding Agent Experience) to join a remote engineering review track evaluating production code, debugging traces, and 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 hinges on code compiling, tests passing, and edge-case handling.

Qualifications

• Strong day-job engineering experience with reading, running, and debugging unfamiliar code.
• Ability to write concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest/Jest/JUnit, etc.).
• Clear written reasoning to convince senior engineers.
• Reliable async availability for at least 10 hours per week.
• Prior code-review or technical-interview-grading experience is a plus.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment.
• Grade data engineering solutions for correctness, style, and edge-case handling.
• Write minimal failing tests demonstrating bugs.
• Compare paired solutions and rank them with rubric-based rationale.

Skills

Engineering experience

Unit tests

Testing frameworks

Written reasoning

Async availability

Code-review experience

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

Data 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: $80 / hr · Location: Remote — US-eligible · Contractor

Data 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.

About the role

Data 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 Data Engineer (Coding Agent Experience) assignments.
• Grade data 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 $80 / hr Eligible from US

What you should bring

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Data 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.

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

$80 / 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
• Data engineering