Python Developers: Technical Review for a FastAPI Exam
Budget / Salary$11–11
TypeContract
LocationUnited States
Posted2 hours ago
What We're Researching
We are running a paid study to validate a technical assessment focused on FastAPI microservices. This work ensures our exam questions are technically accurate, unambiguous, and effectively evaluate intermediate developer skills. We need expert reviewers to audit the JSON-formatted question paper before it goes into production.
How It Works
You will complete an asynchronous desktop task to review a set of multiple-choice and coding questions provided in JSON format. For each question, you will verify the technical accuracy of the prompts, options, and correct answers. You will also audit the grading rubrics for coding tasks to ensure they are fair and comprehensive. Finally, you will add edge test cases to the code questions and return the corrected JSON file.
Who This Is For
We welcome backend engineers, Python developers, and technical educators with strong FastAPI experience. You should have hands-on experience building or maintaining microservices and be comfortable reading and writing JSON data structures. Ideal candidates will have a keen eye for detail when evaluating code snippets and technical concepts.
What You'll Do
Audit multiple-choice questions for technical correctness and unambiguous distractors
Verify the accuracy of coding prompts and their associated grading rubrics
Create and add edge test cases for API endpoint coding questions
Submit the final, corrected JSON file containing the approved exam questions
Who Should Apply
Professional experience as a Python developer or backend engineer
Hands-on experience building REST APIs with FastAPI
Familiarity with microservice architecture patterns and asynchronous communication
Comfortable reading, editing, and validating 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
We are running a paid study to validate a technical assessment focused on FastAPI microservices. This work ensures our exam questions are technically accurate, unambiguous, and effectively evaluate intermediate developer skills. We need expert reviewers to audit the JSON-formatted question paper before it goes into production.
How It Works
You will complete an asynchronous desktop task to review a set of multiple-choice and coding questions provided in JSON format. For each question, you will verify the technical accuracy of the prompts, options, and correct answers. You will also audit the grading rubrics for coding tasks to ensure they are fair and comprehensive. Finally, you will add edge test cases to the code questions and return the corrected JSON file.
Who This Is For
We welcome backend engineers, Python developers, and technical educators with strong FastAPI experience. You should have hands-on experience building or maintaining microservices and be comfortable reading and writing JSON data structures. Ideal candidates will have a keen eye for detail when evaluating code snippets and technical concepts.
What You'll Do
Audit multiple-choice questions for technical correctness and unambiguous distractors
Verify the accuracy of coding prompts and their associated grading rubrics
Create and add edge test cases for API endpoint coding questions
Submit the final, corrected JSON file containing the approved exam questions
Who Should Apply
Professional experience as a Python developer or backend engineer
Hands-on experience building REST APIs with FastAPI
Familiarity with microservice architecture patterns and asynchronous communication
Comfortable reading, editing, and validating 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
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