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 systems used by millions — ensuring they reason accurately about markets, valuation, risk, and more.

This is a fully remote, adaptable contract role designed to fit around your existing schedule.

Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Review and evaluate finance-related questions, answers, and explanations used in AI training datasets
Assess the accuracy and clarity of financial concepts including valuation, risk, market behavior, and corporate finance
Identify errors, misconceptions, and gaps in AI-generated financial reasoning
Provide structured, detailed feedback to improve the quality of AI outputs
Apply your teaching experience to spot the kinds of misunderstandings students — and AI systems — commonly make
Work independently and asynchronously on your own schedule

Who You Are





3+ years of experience teaching finance or economics at the postsecondary level
Strong command of corporate finance, financial markets, or financial economics
Able to clearly evaluate and articulate strengths and weaknesses in written financial reasoning
Comfortable working through structured content at scale with consistency and precision
Self-motivated and reliable in a remote, asynchronous environment

Nice to Have

Graduate degree in Finance, Economics, or a related field
Industry or applied finance experience (investment banking, asset management, fintech, etc.)
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 next generation of AI
Fully remote and flexible — work when it suits you
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that improves

📌 Finance Lecturer (India)
🏢 Alignerr
📍 India