Investment AI Counselor
location_on880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Job Description
About the Role
DataAnnotation is committed to creating high-quality AI. We are looking for an Investment Counselor to join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.
We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.
Team Context
We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you will leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, pushing the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t. You will share clear, structured feedback to help make each new version of the AI smarter and more reliable.
Work location
Work model: Remote
880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Washington, District of Columbia
Key Responsibilities
- check_circleCheck the reasoning and accuracy of AI Assistant work using financial expertise
- check_circleGive AI chatbots diverse and complex problems to evaluate their outputs
- check_circleEvaluate the quality produced by AI models for correctness and performance
- check_circleReview and improve AI Assistant answers regarding macro trends, corporate finance, and capital markets
- check_circlePush models with complex, real-world scenarios and edge cases to test reasoning
- check_circleShare clear, structured feedback to enhance AI model reliability
Requirements
- verifiedFluency in English (native or bilingual level)
- verifiedMaster’s or PhD (completed or in progress) in finance-related discipline preferred
- verifiedExpert-level financial reasoning and formal training in finance
- verifiedProficient in financial analysis, financial modeling, and data analysis
- verifiedApplicants must be located in the United States
Benefits & Perks
Skills, education and keywords
Skills: financial analysis, financial modeling, data analysis, english.
Education: Master's or PhD in finance-related discipline preferred; Master's or PhD in finance-related discipline preferred.