Python Backend Engineers: Audit a FastAPI Microservices Exam
About this role
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?
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 terac.com or on YouTube at @jointerac.
Company at a glance
Terac is an AI-native two-sided marketplace headquartered in downtown San Francisco that connects enterprises with specialized expertise to high-quality professionals on demand. The company's mission is to fundamentally change how labor is allocated globally by using AI-driven matchmaking to connect experts with work opportunities based on thousands of signals about capability, performance, preferences, and potential. Currently placing thousands of experts per month across 50+ projects for 25+ clients, Terac serves leading AI research companies, market research firms, data companies training AI models, and research organizations. With a panel of 100,000+ professionals and ambitions to scale to 10 million, the company has achieved an eight-figure annual run rate and expects to exceed $10 million in revenue in the next year. Having raised $9 million in seed funding, Terac is preparing to launch a Series A round while rapidly expanding its team from 4-5 people to approximately 15 members, with plans to reach 30 by year end.
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