This role focuses on leveraging your expertise in public equity investments to help train next-generation AI systems. By providing high-quality, real-world input, you will shape how AI models learn, reason, and perform in the financial domain.

• Leverage deep understanding of public equity markets to provide expert evaluation and nuanced feedback on investment scenarios.
• Analyze and critique company capital structures, focusing on the intricate interplay between equity, debt, and hybrid instruments.
• Utilize advanced debt modeling skills to dissect leveraged bonds and loans, identifying potential risks and opportunities.
• Assess risk profiles of public companies with a detailed eye for company debt and credit structures.
• Deliver structured, insightful written and verbal explanations that can inform and improve AI systems'' understanding of public equity investment dynamics.
• Collaborate closely with the customer''s team to ensure domain-specific knowledge is accurately captured and integrated.
• Contribute to the development of robust datasets and evaluation processes that reflect real-world financial complexity.

• Proven expertise in public equity investments, with a strong focus on capital structures and debt instruments.
• In-depth experience with debt modeling and risk analysis in public markets.
• Comprehensive knowledge of company debt, leveraged bonds, and loan structures.
• Exceptional written and verbal communication skills, with the ability to convey complex financial concepts clearly.
• Strong analytical and quantitative abilities; able to synthesize data from multiple sources.
• Ability to work independently and as part of a distributed, remote team.
• Meticulous attention to detail in documentation and feedback provision.

Contract position with remote work flexibility.

Hourly rate of $200 - $300.

No prior experience in AI is required; your domain knowledge is what matters.

Preferred qualifications include an advanced degree in finance, economics, or a related field, as well as experience training or mentoring others on capital structure analysis or debt modeling.

Prior exposure to AI, data annotation, or financial technology projects is a plus but not required.