Moonlight MCQA - Danish Finance | $38.59-$47.17/hr Remote
Overview
Join a remote project to develop high-quality evaluation questions for AI systems. You'll apply your expertise in Danish accounting, auditing, and tax to write exam-style multiple-choice questions that test an AI's reasoning. This is a flexible freelance role where you can work on your own schedule while earning an attractive hourly rate. The work directly improves AI trustworthiness in financial domains.
What You'll Do5
- 1Draft original, exam-style multiple-choice questions based on your own knowledge of Danish accounting, auditing, and tax.
- 2Create ten plausible answer options for each question, including one correct answer and nine realistic distractors.
- 3Write a clear, step-by-step worked solution explaining why the correct answer is right.
- 4Ensure every question is accurate, unbiased, and aligned with current Danish financial regulations and standards.
- 5Manage your own workflow and deliver finished questions within agreed deadlines.
Requirements4
- 1A master's degree or higher in finance, accounting, or business.
- 2At least 2 years of professional experience in the financial or accounting field.
- 3Native-level written fluency in Danish, with the ability to craft precise technical content.
- 4Based in (or educated in) Denmark to ensure familiarity with local regulations and practices.
Who Should Apply
This role is perfect for experienced finance professionals who are comfortable with exam writing and want to apply their expertise to an innovative AI project. You should enjoy breaking down complex accounting and tax concepts into clear assessment questions. If you're looking for a flexible side income and have a strong command of Danish financial rules, this is a fit.
Salary Insight
Paid an hourly rate of $38.59–$47.17, depending on experience and performance.
Location
Required Skills
Application Tip
Highlight any prior experience with question writing, curriculum development, or exam design in your application. Even if you haven't worked on AI datasets, show samples of questions you've created from your professional expertise.
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