Money Coach Trainer

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 Money Coach 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. AI model training involves carefully analyzing both user input and the AI’s responses, then adjusting and annotating that interaction so the AI model can learn to deliver more accurate, helpful, and natural answers over time.

The position requires a commitment of 28 hours per week.

Responsibilities:

• Review and assess all Money Coach Q&A content to ensure accuracy, clarity, and consistency with Stash’s investment philosophy and advice standards.
• Revise or edit responses as needed to maintain a conversational, approachable, and user-friendly tone.
• Uphold the “Stash Way” by embedding long-term investing strategies, diversification, and other core financial principles into every answer.
• Track and analyze patterns in user questions and AI responses to strengthen the data guiding Money Coach’s ability to address a wide range of inquiries.
• Provide actionable feedback for ongoing model refinement and recommend updates that reflect shifting customer needs or market conditions.
• Report into and directly support our AI Engineering team

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.
• Interest in AI/ML systems and a desire to learn how AI models are trained and improved
• Attention to detail with the ability to analyze content and provide feedback for improvement  

Gold Stars

• Experience in AI training, content moderation, or educational content creation

#LI-REMOTE

Our Commitment to Diversity, Equity, and Inclusion

We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it’s the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash core value, and to ensure Stashers of all backgrounds and experiences can be their authentic selves. 

We are also proud to be the first and only venture-backed fintech to join the CEO Action for Diversity & Inclusion™, and as an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.

If you require any reasonable accommodations to make your application process more accessible, please reach out to recruiting@Stash.com.

External Recognition for Stash

• Benzinga’s 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards
• Qorus-Accenture’s 2023 Banking Innovation Awards
• USA Today and Statista’s 2023 Top 500 Best Financial Advisory Firms
• Comparably's Best Company Awards: Best Places to Work, Best Company Outlook, and Best Engineering Team for Diversity, Women, Culture, and more! (2023)
• Fintech Breakthrough Award: Best Personal Finance App (2023)
• BuiltIn’s Best Places to Work (2022, 2021, 2020, 2019)
• Forbes Fintech 50 (2021, 2020, 2019)
• Best Digital Bank, Finovate Awards (2020)
• Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
• LendIt Fintech Innovator of the Year (2020, 2019)

Hourly Rate: $30 an hour

**No recruiters, please**