Part-Time AI Model Trainer

at  Stash

Stash is an investing app dedicated to empowering people to invest and build better lives. Stash’s plans—starting at just $3 a month—unlock access to a suite of simple, automated solutions designed to help people find security and peace of mind through investing.
Stashers are 15% more financially literate than the average American, and rely on Stash for timely education, expert advice, and clear next steps to help them grow their money and achieve lifelong goals.
We are seeking a part-time AI Model Trainer to support our best in class Money Coach platform. In this role, you’ll collaborate with our team on various exciting projects and initiatives. The position requires a commitment of 30 hours per week.

QUALIFICATIONS:

• Bachelor’s degree in Finance, Economics, Business, or related field.
• Strong understanding of personal finance, investing and key concepts like portfolio diversification, benefits of low cost ETFs, dollar-cost averaging, and long-term wealth building.
• Excellent writing and editing skills, with an emphasis on clear, concise, and conversational language.
• Attention to detail with the ability to analyze content and provide feedback for improvement

• Review and evaluate all Q&A content generated by Money Coach for accuracy, clarity, and alignment with Stash’s investment philosophy and advice principles.
• Approve well-structured, clear, and informative answers that meet the needs of Stash customers.
• Rewrite or edit Q&A responses that require improvement, ensuring they maintain a conversational, user-friendly tone.
• Ensure all answers promote long-term investing strategies, diversification, and other key financial principles central to the Stash Way.
• Collaborate with Stash’s Chief Investment Officer to enhance Money Coach’s response quality and maintain consistency with Stash’s investment and advice philosophy.
• Identify patterns in user questions and suggest new training data to improve Money Coach’s ability to handle diverse inquiries.
• Provide feedback for continuous model improvement and suggest adjustments based on evolving customer needs or market trends.