The Morgan Stanley Firmwide AI team is seeking a highly skilled and motivated Conversational and Generative Data AI Specialist. The Conversational and Generative AI Data Specialist will play a crucial role in supporting the construction, analysis, and refinement of natural language datasets that power multiple conversational and generative AI products and solutions.

The ability to practically apply and communicate conversational and generative AI concepts to a financial services audience is pivotal in this role. The ideal candidate will have a sharp understanding of natural language processing/understanding, data annotation management, conversation design, prompt engineering, and other related concepts. They must be able to distill complex technical insights into clear, actionable guidance for stakeholders and users with varying levels of technical expertise.

Duties and Responsibilities

Data and Annotation Management.

• Develop clear, consistent annotation guidelines that ensure high-quality labeled data across multiple diverse use cases.
• Manage end-to-end annotation workflows, including task onboarding, annotator support, annotation quality assurance, and performance monitoring.
• Analyze annotation output to detect patterns, ambiguities, and failure modes, and adjust guidelines or processes accordingly.

Performance Reporting and Feedback Analysis.

• Communicate annotation insights and dataset quality metrics to both technical and non-technical stakeholders to inform modeling decisions and product direction.
• Recommend process or guideline adjustments based on recurring insights and performance trends.
• Translate qualitative and quantitative feedback into clear recommendations for improving datasets, product behavior, and model performance.

Qualifications

• 5+ years’ experience annotating, managing, and evaluating datasets in conversational AI (chatbots, dialogue systems, voice assistants such as Alexa or Google Assistant) and/or generative AI (prompt engineering, generative AI evaluation) contexts.
• Bachelor’s degree in linguistics, computational linguistics, data science, or related field.
• Familiarity with extracting qualitative and quantitative insights from large natural language corpora.
• Ability to function and collaborate within a diverse, cross-functional global organization.
• Demonstrated ability to communicate data-driven insights and recommendations to technical and non-technical stakeholders.

You might also have:

• Past applicable experience in finance, wealth management, or retail/investment banking.
• Basic competency in programming languages commonly used in data analysis, such as SQL and Python.
• Hands-on experience building a generative AI product.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $120,000 and $205,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).