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
Job description
Join the DataAnnotation team and 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 are looking for a Finance Expert to help advance AI development in the finance domain. 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 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 $50–$60 USD 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 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 an independent contract position.
#finance
dataannotation.tech
Frequently asked questions
Q: What skills or qualities help someone succeed as a Treasury Analyst?
A: To succeed as a Treasury Analyst, key technical skills include proficiency in financial software such as Excel, Treasury Management Systems, and financial modeling tools, as well as knowledge of financial instruments, cash management, and risk management. Soft skills like strong analytical and problem-solving abilities, effective communication, and attention to detail are also crucial, as Treasury Analysts must interpret complex financial data and collaborate with stakeholders to inform business decisions. These strengths enable Treasury Analysts to provide strategic financial insights, optimize cash flow, and mitigate financial risks, ultimately supporting career growth and effectiveness in the role.
Q: What is the career path for a Treasury Analyst?
A: A Treasury Analyst typically starts as an entry-level role, progressing to a Senior Treasury Analyst, and eventually becoming a Treasury Manager or Director, overseeing financial planning, cash management, and investment strategies. Key opportunities for skill development include learning financial modeling, risk management, and financial analysis, as well as developing expertise in areas such as derivatives, foreign exchange, and interest rate markets. Long-term career prospects may lead to roles such as Chief Financial Officer (CFO), Chief Investment Officer (CIO), or even a career in investment banking or asset management.
