Alignerr
Finance Lecturer (AI Training)
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Finance Lecturer (AI Training)
About The Role
We're looking for finance lecturers and economists to help shape how AI understands financial and economic reasoning. Your expertise will directly influence the quality of AI-generated content in one of the most complex and high-stakes domains — corporate finance, markets, risk, and economic theory.
This is a fully remote, flexible contract role that fits around your existing schedule. Whether you're an active academic, an industry professional, or somewhere in between, your deep knowledge of finance can make a meaningful impact on the AI systems used by millions.
Organization & Details
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-Based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review finance and economics questions and explanations used in AI training datasets
- Evaluate the accuracy of financial concepts including valuation, risk, market behavior, and macroeconomics
- Identify errors, misconceptions, and gaps in AI-generated financial reasoning
- Provide clear, structured feedback to improve the quality and clarity of AI outputs
- Apply your teaching experience to spot the kinds of misunderstandings students — and AI systems — commonly make
- Work independently and asynchronously to complete task-based assignments on your own schedule
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Who You Are
Core Requirements
- 3+ years of experience teaching finance or economics at the postsecondary level
- Strong command of corporate finance, financial markets, or related financial economics
- Able to critically evaluate written financial reasoning and communicate feedback clearly
- Comfortable reviewing structured content at scale with attention to detail
- Self-motivated and reliable when working independently
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Nice to Have
- Graduate degree in Finance, Economics, or a related field
- Industry or applied finance experience (e.g., investment banking, asset management, consulting)
- Familiarity with AI systems, model evaluation, or data annotation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs shaping the future of financial intelligence
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and the chance to collaborate with experts globally
- Contribute to meaningful work that improves how AI handles complex financial topics
- Potential for ongoing work and contract extension
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