Remote Finance Lecturer for AI Training & Evaluation

Alignerr Corp.; Chicago (IL); On-site; USD 14,000 - 55,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Alignerr is seeking experienced lecturers in finance and economics to contribute to AI training projects. This fully remote hourly contract invites you to shape financial reasoning in AI systems while working on your own schedule and meeting 10–40 hours per week.

You will review finance concepts, provide structured feedback, and leverage your postsecondary teaching experience to identify misconceptions in AI-generated content. Prior experience in finance or economics education is essential.

Qualifications

• 3+ years of experience teaching finance or economics at the postsecondary level.
• Strong command of corporate finance, capital markets, or financial economics.
• Ability to critically evaluate written financial reasoning and communicate feedback clearly.
• Comfortable working through structured content at scale with attention to detail.
• Self-motivated and reliable in an asynchronous remote environment.

Responsibilities

• Review and evaluate finance‑related questions, explanations, and reasoning used in AI training datasets.
• Assess the accuracy of key financial concepts including valuation, risk management, market behavior, and financial economics.
• Provide clear, structured feedback to improve the quality and clarity of AI-generated financial reasoning.
• Apply your teaching experience to identify common misconceptions and gaps in AI-generated content.
• Work independently and asynchronously to complete task-based assignments on your own schedule.

Skills

Finance teaching

Economics teaching

Critical evaluation

Feedback communication

Education

Master's or PhD in Finance or Economics

Job description

Alignerr is seeking experienced lecturers in finance and economics to contribute to AI training projects. This fully remote hourly contract invites you to shape financial reasoning in AI systems while working on your own schedule and meeting 10–40 hours per week.

You will review finance concepts, provide structured feedback, and leverage your postsecondary teaching experience to identify misconceptions in AI-generated content. Prior experience in finance or economics education is essential.