Remote Finance Lecturer for AI Reasoning (Contract)

Alignerr; Miami (FL); Remote; USD 34,000 - 83,000; Part time

Benefits offered by this job

Flexible schedule

Remote work

Contract-based

Job summary

Alignerr is seeking finance lecturers and economists to shape how the next generation of AI understands financial and economic reasoning. You will review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets, working asynchronously from anywhere.

Candidates should have 3+ years teaching at the postsecondary level and a strong background in corporate finance, financial markets, or financial economics.

Qualifications

• 3+ years of experience teaching finance or economics at the postsecondary level.
• Strong command of corporate finance, financial markets, or financial economics.
• Able to critically evaluate written financial reasoning and communicate feedback clearly.
• Comfortable reviewing structured content at scale with consistency and rigor.
• Self-motivated and reliable in a fully remote, asynchronous environment.

Responsibilities

• Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets.
• Assess the accuracy of complex financial concepts including valuation, risk management, capital markets, and macroeconomic theory.
• Identify errors, gaps, and misconceptions in AI-generated financial content.
• Provide clear, structured feedback that improves how AI models reason about finance and economics.
• Apply your teaching experience to flag common misunderstandings and suggest better explanations.
• Work independently and asynchronously - on your schedule.

Skills

Teaching Finance

Economics teaching

Financial economics

Critical evaluation

Education

Master's or PhD in Finance/Economics

Job description

Alignerr is seeking finance lecturers and economists to shape how the next generation of AI understands financial and economic reasoning. You will review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets, working asynchronously from anywhere.

Candidates should have 3+ years teaching at the postsecondary level and a strong background in corporate finance, financial markets, or financial economics.