Regional Retail Director
DataAnnotation · Washington, United States
- Hybrid
- Full-time
- $60,000 / year
- Washington, United States
Job highlights
- Train AI models for finance professionals.
- Remote work with flexible schedule.
- Utilize finance expertise for AI improvement.
- Paid hourly $50-$60 plus bonuses.
- Full-time or part-time contract role.
About the role
About DataAnnotation
DataAnnotation is committed to creating high-quality AI. We are looking for a Finance AI Trainer 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.
About the Role
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.
Responsibilities
- 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.
- Give AI chatbots diverse and complex problems and evaluate their outputs.
- Evaluate the quality produced by AI models for correctness and performance.
Qualifications
- 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.
- 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.
- Only applicants in the United States will be considered for this role.
- This is an independent contract position.
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.
- Payment is made via PayPal.
Key skills/competency
- Financial Analysis
- AI Training
- Financial Modeling
- Data Analysis
- Financial Reasoning
- Corporate Finance
- Capital Markets
- Investment Banking
- Wealth Management
- Insurance Planning
Skills & topics
- Finance AI Trainer
- AI Training
- Financial Analysis
- Financial Modeling
- Data Analysis
- Remote Work
- Contractor
- Part-time
- Full-time
- Masters PhD
How to get hired
- Tailor your resume: Highlight your finance expertise, advanced degrees, and relevant experience such as financial analysis, modeling, and data analysis.
- Showcase financial reasoning: Emphasize your ability to evaluate complex scenarios and provide clear, structured feedback for AI models.
- Demonstrate detail-orientation: Provide examples of your meticulous work and commitment to accuracy in previous finance roles.
- Apply early and follow instructions: Ensure your application is complete and submitted according to the company's guidelines for US-based applicants.
Technical preparation
Master financial analysis and modeling techniques.,Practice data analysis and interpretation skills.,Develop clear feedback methods for AI.,Familiarize with AI reasoning and edge cases.
Behavioral questions
How do you ensure accuracy in complex financial data?,Describe a time you provided structured feedback.,How do you handle tasks with flexible deadlines?,How do you approach learning new AI concepts?
Frequently asked questions
- What specific finance backgrounds are most valued for the Finance AI Trainer role at DataAnnotation?
- DataAnnotation highly values backgrounds in Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning for their Finance AI Trainer position. Advanced degrees like an MBA or PhD are strongly preferred, alongside demonstrated expertise in financial analysis, modeling, and data analysis.
- How does DataAnnotation ensure fair compensation for its remote Finance AI Trainers?
- DataAnnotation compensates its Finance AI Trainers hourly, with rates starting between $50-$60 USD per hour. They also offer bonuses for high-quality and high-volume work, and all payments are processed via PayPal, which handles any necessary currency conversions from USD.
- Is the Finance AI Trainer position at DataAnnotation a full-time or part-time opportunity?
- The Finance AI Trainer role at DataAnnotation offers flexibility, being available as either a full-time or part-time independent contract position. This allows individuals to choose the work arrangement that best suits their lifestyle and current commitments.
- What are the key responsibilities of a Finance AI Trainer at DataAnnotation?
- As a Finance AI Trainer, your primary responsibilities include reviewing and improving AI Assistant responses on financial topics, checking the reasoning and accuracy of AI outputs, testing AI models with complex scenarios, and providing structured feedback to enhance AI performance.
- What technical skills are essential for the Finance AI Trainer role at DataAnnotation?
- Essential technical skills for a Finance AI Trainer include proficiency in financial analysis, financial modeling, data analysis, and general reasoning exercises related to finance management. A strong understanding of macro trends, corporate finance, and capital markets is also crucial.
- Does DataAnnotation consider candidates currently pursuing a Master's or PhD for the Finance AI Trainer role?
- Yes, DataAnnotation strongly prefers candidates who have a Master's or PhD, whether completed or currently in progress. This academic background is a key indicator of the advanced reasoning and analytical skills required for the role.
- Are there any location restrictions for applying to the Finance AI Trainer position at DataAnnotation?
- Yes, DataAnnotation explicitly states that only applicants currently residing in the United States will be considered for this Finance AI Trainer role. It is a remote position, but US residency is a requirement.