AI Finance Trainer & Data Structuring Expert

Crossing Hurdles; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A financial technology company in the United States seeks a professional to train AI models using real-world financial data. The successful candidate will work with complex datasets, support AI learning, and communicate insights to technical and non-technical stakeholders. Ideal applicants should have strong finance or technology finance experience, communication skills, and the ability to collaborate in remote, cross-functional teams. This role may evolve, requiring adaptability and independence.

Qualifications

• Strong experience in finance or technology finance with hands-on financial data analysis.
• Expertise in financial modeling and structuring complex datasets.
• Excellent written and verbal communication skills.
• Ability to work with unstructured and ambiguous financial data.
• Strong analytical and problem-solving capabilities.
• Experience collaborating with remote, cross-functional teams.
• Adaptability and ability to work independently in evolving environments.

Responsibilities

• Train and guide AI models using real-world financial data and spreadsheets.
• Contribute finance domain expertise to unstructured and ambiguous data initiatives.
• Work with messy financial datasets to support AI learning and model improvement.
• Collaborate with cross-functional teams to structure and refine training datasets.
• Support data seeding and workflow development with iterative improvements.
• Partner with AI developers to enhance model reconstruction and normalization processes.
• Communicate financial insights and concepts clearly to technical and non-technical stakeholders.

Skills

Financial data analysis

Financial modeling

Communication skills

Analytical capabilities

Problem-solving

Job description

A financial technology company in the United States seeks a professional to train AI models using real-world financial data. The successful candidate will work with complex datasets, support AI learning, and communicate insights to technical and non-technical stakeholders. Ideal applicants should have strong finance or technology finance experience, communication skills, and the ability to collaborate in remote, cross-functional teams. This role may evolve, requiring adaptability and independence.