Part-Time AI Model 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 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. Responsibilities: • 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. 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 Gold Stars • Working towards or already received a CFP designation • 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 [email protected]. 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** Apply Job!