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Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
What We're Researching
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.
How It Works
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.
Who This Is For
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.
What You'll Do
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.
Who Should Apply
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
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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Where this listing came from
- 19 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.