We are running a paid study to evaluate the quality and technical accuracy of an intermediate-level assessment for software engineers. The focus of this assessment is on FastAPI microservices, asynchronous inter-service communication, and API gateway patterns. Your expert review ensures that the questions are unambiguous, the distractors are effective, and the code rubrics are technically sound.
During this remote session, you will review a provided JSON file containing multiple-choice, short-answer, and code-based questions about FastAPI. You will audit the provided correct answers and distractor options for technical accuracy and clarity. For the coding questions, you will verify the prompts and grading rubrics, adding relevant edge-case test parameters where needed. Finally, you will provide a corrected version of the assessment data based on your expert evaluation.
We are looking for backend software engineers with hands-on experience building microservices in Python. We welcome Python Developers, Backend Engineers, and API Architects who have deployed FastAPI applications in production environments. Familiarity with ASGI servers, dependency injection, and asynchronous client requests is highly relevant for this review.
Audit multiple-choice options and correct answers for technical accuracy.
Identify and eliminate ambiguous distractor choices in the exam questions.
Verify the prompts and grading rubrics for code-based assessment items.
Add missing edge test cases to the code evaluation rubrics.
Submit a finalized, corrected JSON version of the exam paper.
Professional experience as a backend software engineer or Python developer
Hands-on experience building and deploying FastAPI microservices
Strong understanding of asynchronous Python and ASGI servers (like Uvicorn)
Comfortable reviewing and correcting JSON-formatted assessment data
$11 one-time
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
Terac is building the infrastructure layer that connects AI systems with on-demand human expertise.
We believe the future of work is shifting: instead of humans using AI to do most tasks, AI will increasingly do most work with the help of humans. In that world, companies won’t need traditional employees - but they will still need people. Terac powers that future by making high-quality human labor accessible through a single API.
Today, Terac operates as an expert network for frontier research. We handle sourcing, verification, screening, and payouts so partners can instantly access specialized talent for research, evaluation, and data generation. Our platform enables companies to tap into niche expertise on demand while focusing on building their core products.
Backed by $9M from Emergence, SignalFire, Audacious, and Z Fellows, we’re scaling from research tooling into a broader marketplace for the human data economy - building systems for expert matching, pricing, routing, and trust that will define how AI and humans collaborate at scale.
