Finance Lecturer (AI Training)

Alignerr Corp.; United States; Remote; AUD 34,000 - 69,000; Part time

Job summary

Alignerr Corp. is seeking finance lecturers and economists to shape how AI systems understand financial reasoning. You will review and improve AI training content on topics like corporate finance, markets, valuation, and risk, contributing to higher-quality outputs for finance professionals and learners worldwide.

The role is remote, hourly/task-based, with a commitment of 10–40 hours per week. Join Alignerr (Powered by Labelbox) for flexible, freelance collaboration across the globe.

Qualifications

• 3+ years of postsecondary teaching in finance or economics.
• Strong knowledge of corporate finance, markets, valuation, and risk.
• Ability to provide structured feedback on AI training data.
• Experience teaching or reviewing content at scale.

Responsibilities

• Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets.
• Assess the accuracy of financial concepts including valuation, risk, market behavior, and economic theory.
• Identify common misconceptions, logical gaps, or misleading explanations.
• Provide clear, structured feedback to improve AI-generated financial reasoning.
• Apply your teaching experience to ensure content is accessible, precise, and pedagogically sound.
• Work independently and asynchronously on a schedule that fits your life.

Skills

Teaching experience

Finance/Economics expertise

Critical evaluation

Clear feedback

Remote asynchronous work

Education

Graduate degree in Finance or Economics

Job description

About The Role

We're looking for finance lecturers and economists to help shape how the next generation of AI systems understands financial and economic reasoning. Your subject-matter expertise will directly influence the quality, accuracy, and clarity of AI outputs across topics like corporate finance, market behavior, valuation, and risk — making a real impact on how AI serves finance professionals and learners worldwide.

• Organization: Alignerr (Powered by Labelbox)


• Type: Hourly / Task-based Contract


• Location: Remote


• Commitment: 10–40 hours/week

About The Role

We're looking for finance lecturers and economists to help shape how the next generation of AI systems understands financial and economic reasoning. Your subject-matter expertise will directly influence the quality, accuracy, and clarity of AI outputs across topics like corporate finance, market behavior, valuation, and risk — making a real impact on how AI serves finance professionals and learners worldwide.

• 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, explanations, and reasoning used in AI training datasets


• Assess the accuracy of financial concepts including valuation, risk, market behavior, and economic theory


• Identify common misconceptions, logical gaps, or misleading explanations


• Provide clear, structured feedback to improve AI-generated financial reasoning


• Apply your teaching experience to ensure content is accessible, precise, and pedagogically sound


• Work independently and asynchronously on a schedule that fits your life

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 critically evaluate written financial reasoning and communicate feedback clearly


• Comfortable reviewing structured content at scale with attention to detail


• 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, consulting, etc.)


• Familiarity with AI systems, model evaluation, or data labeling workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs and AI teams


• Fully remote and flexible — work on your own schedule, from anywhere


• Freelance perks: autonomy, variety, and collaboration with experts across the globe


• Contribute to meaningful work that improves how AI understands complex financial concepts


• Potential for ongoing work and contract extension