About DataAnnotation
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Industry
Computing infrastructure providers, data processing, web hosting and data services
Company size
10,000+ Employees
Headquarters location
New York, NY, US
$50 - $60/hr
Full-time, Part-time, Contractor
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Job description
DataAnnotation is committed to creating high-quality AI. 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.
We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:
- Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
- Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
- Push the models with complex, real-world scenarios and edge cases to see where their reasoning 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 strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, 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-quality and 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 handle any currency conversions from USD. This is an independent contract position.
dataannotation.tech
Frequently asked questions
Q: What skills or qualities help someone succeed as a Financial Data Analyst?
A: To succeed as a Financial Data Analyst, key technical skills include proficiency in data analysis tools such as Excel, SQL, and data visualization software like Tableau or Power BI, as well as knowledge of financial modeling and accounting principles. Soft skills like strong communication, problem-solving, and analytical thinking abilities are also crucial, enabling analysts to effectively interpret complex data, identify trends, and present findings to stakeholders. By combining these technical and soft skills, Financial Data Analysts can drive business insights, inform strategic decisions, and contribute to career growth through opportunities for advancement and professional development.
Q: What is the career path for a Financial Data Analyst?
A: A Financial Data Analyst's typical career progression involves starting as an Entry-Level Analyst, where they focus on data collection, processing, and basic analysis. As they gain experience, they can move into Mid-Level roles such as Senior Analyst or Financial Planning Analyst, where they take on more complex projects, lead teams, and develop strategic recommendations. Ultimately, Senior Financial Data Analysts or Financial Managers can advance to senior leadership positions, overseeing entire financial departments, or transition into related fields like investment banking, management consulting, or business development.
