At a Glance
- Tasks: Train AI to understand finance by reviewing and improving its responses.
- Company: Join a forward-thinking team at DataAnnotation, shaping the future of AI in finance.
- Benefits: Flexible remote work, set your own schedule, and earn $50-$60 per hour plus bonuses.
- Other info: Independent contract position with opportunities for growth as the team expands.
- Why this job: Make a real impact on AI while enjoying the freedom to work how you want.
- Qualifications: Fluency in English and strong financial analysis skills; advanced degrees preferred but not required.
The predicted salary is between 60 - 60 £ per hour.
DataAnnotation is committed to creating high‑quality AI. We are looking for a Wealth Manager 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. 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.
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‑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. Only applicants in the United Kingdom will be considered for this role. This is an independent contract position.
Wealth Manager - AI Trainer employer: DataAnnotation
DataAnnotation is an exceptional employer that values flexibility and work-life balance, offering remote positions that allow you to set your own schedule. As a Wealth Manager - AI Trainer, you'll have the opportunity to leverage your financial expertise in a dynamic environment while contributing to the advancement of AI technology. With competitive hourly rates and the potential for bonuses, along with a culture that encourages professional growth and collaboration, DataAnnotation is an ideal place for finance professionals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Wealth Manager - AI Trainer
✨Show Off Your Expertise Online
In the banking and financial services world, sharing your insights on platforms like LinkedIn can really set you apart. Write articles about market trends or finance tips, and engage in discussions in relevant groups. This not only boosts your visibility but also highlights your knowledge to potential clients.
✨Join Freelance Platforms and Networking Events
Freelancing in finance can be competitive, so make sure you're on platforms like Upwork or Fiverr, specifically targeting finance gigs. Also, look for finance networking events or webinars to connect with small businesses that might need your services. Meeting people face-to-face (or online) can score you those elusive freelance contracts.
✨Build a Stunning Portfolio
Since you're going freelance, having a solid portfolio is a must. Showcase your previous work, such as reports or analyses, and consider using case studies to highlight your approach. The more you can demonstrate your skills, the easier it is for clients to trust you with their finances.
✨Direct Outreach is Key
For freelance gigs, don't wait for opportunities to come to you. Identify companies or startups that align with your skills and reach out directly. A personalised message introducing yourself and proposing how you could add value can go a long way. Plus, keep an eye on DataAnnotation for freelance opportunities—they might have just what you’re looking for!
We think you need these skills to ace Wealth Manager - AI Trainer
Some tips for your application 🫡
Showcase Your Financial Savvy:When applying for a freelance role in banking and financial services, we need to see your expertise front and centre! Mention specific financial regulations or tools you've mastered, and feel free to include your relevant qualifications, like CFA or ACCA, to bolster your credibility.
Build a Stellar Portfolio:Since this is a freelance gig, your portfolio is your ticket to impressing us at DataAnnotation. Include examples of past projects you've completed—think financial analyses, investment reports, or forecasting models. Be sure to highlight the results you achieved!
Tailor Your Rates and Availability:We want to see that you're flexible and can align with our needs. Clearly outline your freelance rates, availability for projects, and whether you're open to long-term collaborations or just ad-hoc gigs. This makes it easier for us to understand how we can work together!
Craft a Compelling Cover Letter:In your cover letter, express not just your skills, but also why you're excited about joining DataAnnotation. Share your passion for financial services and how you plan to tackle challenges in this sector. This is your chance to connect on a personal level—make it count!
How to prepare for a job interview at DataAnnotation
✨Show Off Your Financial Savvy
When you're talking with DataAnnotation, make sure to highlight your experience with financial modelling, risk assessment, or portfolio management. Freelance work often requires a good level of financial literacy, so prepare to discuss any relevant tools you've used, whether it's Excel or specific financial software.
✨Bring Your Portfolio to Life
A freelance role means you’ll want to showcase your previous work effectively. Put together a portfolio that not only highlights your projects but also demonstrates the outcomes - think case studies or success stories that showcase how your financial skills made a difference for past clients.
✨Know Your Regulations and Compliance
In the banking and financial services world, understanding compliance and regulations is crucial. Make sure you’re up to date with the latest standards as they relate to your expertise. Be prepared for specific questions about how you've navigated these in past roles or how you'd approach potential compliance challenges.
✨Be Ready to Discuss Your Rates and Availability
As a freelancer, the topic of rates and availability can come up early on. Be clear about what you offer and how you charge. It might also help to have a few examples in mind where your expertise saved someone money or improved efficiency to justify your rates to DataAnnotation.