Python Backend Engineers: Audit a FastAPI Microservices Exam

What We're Researching

We're hiring Python developers to review and refine an assessment designed for intermediate FastAPI engineers. Ensuring technical accuracy in certification exams is critical for accurately evaluating candidate skills. Your expertise will help us identify ambiguous questions and validate complex code-based grading rubrics.

How It Works

You will review a structured set of multiple-choice, short-answer, and coding questions focused on FastAPI microservices. During this asynchronous task, you will audit distractors for unambiguous correctness and verify that code prompts align with their corresponding rubrics. You will also be asked to suggest edge test cases for coding endpoints to ensure robust candidate evaluation. All feedback will be recorded in a structured JSON format.

Who This Is For

We welcome seasoned Python backend engineers, API developers, and microservices architects. You should have strong hands-on experience building production APIs using FastAPI, Uvicorn, and dependency injection patterns. Professionals who have previously mentored junior developers, conducted technical interviews, or designed engineering assessments are highly encouraged to apply.

What You'll Do

• Audit multiple-choice options for technical accuracy and unambiguous distractor choices

• Verify coding question prompts against their provided grading rubrics

• Suggest edge test cases for API endpoint implementations

• Review asynchronous communication concepts and API gateway patterns

Who Should Apply

• Professional experience building backend services with Python and FastAPI

• Familiarity with ASGI servers, dependency injection, and Pydantic data validation

• Strong understanding of asynchronous programming and microservices architecture

• Comfortable reviewing and modifying structured JSON data

Compensation

$11 one-time

Ready to participate?

Start your paid interview now

About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at or on YouTube at @jointerac.

Originally posted on Himalayas