Python Expert Evaluator

AI Trainer Jobs; United States; Remote; USD 28,000 - 90,000; Full time

Job summary

AI Trainer Jobs is seeking a Python Expert Evaluator for a remote engineering review track. You will evaluate Python code, debug traces, and judge developer-facing AI outputs against real-world correctness standards. You will reproduce failures, write minimal failing tests, and explain fixes so the modeling team can target gaps.

You will be paired with experienced engineers and judged by a rubric. This contractor role offers remote work with US eligibility and pay ranging from $20 to $65 per

Qualifications

• Strong day-job Python experience with reading, running, and debugging unfamiliar code.
• Ability to write concise unit tests capturing a single failure mode.
• Familiarity with a testing framework (pytest, Jest, JUnit, etc.).

Responsibilities

• Run and reproduce Python code outputs in a sandboxed environment for Python Expert Evaluator assignments.
• Grade Python 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.
• Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.

Skills

Python

Debugging

Unit testing

Code review

Software engineering judgement

LeetCode

Tools

pytest

Jest

JUnit

Job description

Python Expert Evaluator is a remote engineering review track for evaluating Python 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: $20–$65 / hr · Location: Remote — US-eligible · Contractor

Python Expert Evaluator is a remote engineering review track for evaluating Python code, debugging traces, and developer-facing AI outputs against real-world correctness standards.

Role details

About the role

Python Expert Evaluator is a remote engineering review track for evaluating Python 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.
Python 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 Python code outputs in a sandboxed environment for Python Expert Evaluator assignments.
• Grade python 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.
• Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.Track Code review & evaluation Work model Remote · Independent specialist contractor Compensation $20–$65 / hr Eligible from US

What you should bring

• Strong day-job Python experience — you can read, run, and debug unfamiliar code for Python Expert Evaluator 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 Python 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 Python's standard tooling, linters, and idiomatic style guides.
• Familiarity with security-review checklists (OWASP, CWE) and AppSec patterns.

Compensation and schedule

$20–$65 / 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
• Python engineering
• LeetCode
• Python

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.