Finance Lecturer (AI Training)

Alignerr; Portugal; A distancia; EUR 34.000 - 83.000; A tiempo parcial

Descripción de la vacante

Alignerr is seeking finance lecturers and economists to help train and evaluate cutting-edge AI models, ensuring financial concepts are reasoned with rigor. This fully remote, hourly contract role offers flexible scheduling and the opportunity to influence AI understanding of markets.

You will review AI-generated finance questions and explanations, assess valuation and financial economics, and provide structured feedback.

Formación

• 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 explain why it's right or wrong.
• Comfortable working through structured content independently and at scale.

Responsabilidades

• Review AI-generated finance questions, explanations, and reasoning for accuracy and clarity.
• Evaluate concepts including valuation, risk assessment, capital markets, and financial economics.
• Identify errors, misconceptions, or gaps in AI financial reasoning.
• Provide structured, expert feedback to improve the quality of AI outputs.
• Apply your teaching experience to catch the kinds of conceptual mistakes students commonly make.
• Work independently and asynchronously — on your own schedule.

Conocimientos

Teaching experience

Finance knowledge

Economics knowledge

Independent work

Educación

Graduate degree in Finance or Economics

Herramientas

Data annotation tools

Descripción del empleo

About The Role

What if your financial expertise could shape how the world's most advanced AI systems understand markets, valuation, and economic reasoning? We're looking for finance lecturers and economists to help train and evaluate cutting-edge AI models — ensuring they reason about financial concepts with the same rigor and clarity you'd expect in a graduate seminar.

About The Role

What if your financial expertise could shape how the world's most advanced AI systems understand markets, valuation, and economic reasoning? We're looking for finance lecturers and economists to help train and evaluate cutting-edge AI models — ensuring they reason about financial concepts with the same rigor and clarity you'd expect in a graduate seminar.

This is a fully remote, flexible contract role powered by Alignerr (by Labelbox), working alongside top AI research teams on projects that matter.

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

What You'll Do

• Review AI-generated finance questions, explanations, and reasoning for accuracy and clarity
• Evaluate complex concepts including valuation, risk assessment, capital markets, and financial economics
• Identify errors, misconceptions, or gaps in AI financial reasoning
• Provide structured, expert feedback to improve the quality of AI outputs
• Apply your teaching experience to catch the kinds of conceptual mistakes students 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 critically evaluate written financial reasoning and explain why it's right or wrong
• Comfortable working through structured content independently and at scale
• Self-motivated, reliable, and detail-oriented

Nice to Have

• Graduate degree in Finance, Economics, or a related field
• Applied industry or investment experience
• Familiarity with AI model evaluation or data annotation workflows

Why Join Us

• Work on the frontier of AI — your expertise directly influences how leading LLMs understand finance
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy — no micromanagement, no rigid schedules
• Meaningful impact — help build AI that reasons accurately about the financial concepts that affect real people
• Potential for ongoing work — strong contributors are considered for extended and future projects
• Global collaboration — connect with a diverse, expert community of domain specialists