Remote Lead Financial Analyst - AI Trainer ( per hour)
Data AnnotationRole Overview
Data Annotation is hiring a Remote Lead Financial Analyst - AI Trainer ( per hour). This is a full-time role in McLean. Part of Data Annotation's Investment Banking hiring, posted 6 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles — whether you’re looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of anAI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up – and where it doesn’t. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, CorporateDevelopment, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You’ll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handleany currency conversions from USD. This is an independent contract position.
Frequently Asked Questions
How do I apply for the Remote Lead Financial Analyst - AI Trainer ( per hour) position at Data Annotation?
Use the Apply button above to submit your application directly to Data Annotation. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Remote Lead Financial Analyst - AI Trainer ( per hour) position at Data Annotation located?
This position is based in McLean. Data Annotation has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Remote Lead Financial Analyst - AI Trainer ( per hour) at Data Annotation earn?
Data Annotation has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Remote Lead Financial Analyst - AI Trainer ( per hour) role at Data Annotation posted?
This role was posted on June 2, 2026 (6 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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