Money Coach Trainer
Money Coach Trainer
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1 Vacancy
Job Description
Stash is an investing app dedicated to empowering people to invest and build better lives. Stashs plansstarting at just $3 a monthunlock 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 this role youll collaborate with our team on various exciting projects and initiatives. AI model training involves carefully analyzing both user input and the AIs 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 Stashs 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 Coachs 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:
- Bachelors 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 its 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
External Recognition for Stash
- Benzingas 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards
- Qorus-Accentures 2023 Banking Innovation Awards
- USA Today and Statistas 2023 Top 500 Best Financial Advisory Firms
- Comparablys 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)
- BuiltIns Best Places to Work ()
- Forbes Fintech 50 ()
- Best Digital Bank Finovate Awards (2020)
- Tearsheet Challenge Awards Best Banking Card Product - Stock-Back Card 2020
- LendIt Fintech Innovator of the Year ()
Hourly Rate: $30 an hour
**No recruiters please**
Employment Type
Full Time
