Remote Subsurface & Reservoir Code Review Engineer

AI Trainer Jobs; United States; Remote; USD 94,000 - 127,000; Full time

Job summary

AuraOne is offering 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.

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Subsurface & Reservoir Engineer 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.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Subsurface & Reservoir Engineer assignments.
• Grade subsurface reservoir 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.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

Subsurface Reservoir Engineer review

Energy

Job description

AuraOne is offering 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.