Python Backend Engineers (FastAPI): Technical Exam Review

Role Summary

What We're Researching

We're running a paid study on technical assessment materials for backend developers. The focus is on ensuring a new intermediate-level FastAPI microservices exam is accurate, unambiguous, and effectively measures core competencies. Your expertise will help validate that these assessments meet industry standards.

How It Works

You will participate in a remote session to review a provided JSON question paper containing multiple-choice and coding questions. During the task, you will audit all options and correct answers for technical accuracy while ensuring distractor choices are clear. You will also verify code prompts, evaluate the grading rubrics, and add edge test cases where necessary. Finally, you will submit the approved or corrected JSON file with your expert modifications.

Who This Is For

We are hiring experienced backend developers with strong hands-on knowledge of Python and FastAPI. We welcome Senior Python Engineers, Backend Tech Leads, and API Developers who have built and deployed FastAPI microservices. Ideal candidates are comfortable reviewing technical assessments and identifying subtle errors in code logic or architectural concepts.

Ready to participate?

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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.

Responsibilities

• Audit multiple-choice options and correct answers for technical accuracy.
• Eliminate ambiguity in distractor choices for intermediate-level questions.
• Verify code question prompts and evaluate their associated grading rubrics.
• Add edge test cases to programming questions to ensure robust grading.
• Submit a corrected and finalized JSON file containing your expert review.

Who Should Apply

• Professional experience building backend microservices with Python and FastAPI.
• Familiarity with ASGI servers, dependency injection, and asynchronous communication.
• Experience using Pydantic for data validation and httpx for async requests.
• Comfortable reading, evaluating, and editing JSON-formatted technical assessments.