At a Glance
- Tasks: Train AI models by evaluating their logic and solving complex financial problems.
- Company: Join a forward-thinking team at the intersection of finance and technology.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £29.06 per hour.
- Other info: This is a contract position available only for residents in the US, UK, or CA.
- Why this job: Make an impact in AI while utilising your financial expertise in a dynamic environment.
- Qualifications: Expertise in finance is preferred; a degree in related fields is a plus.
DataAnnotation is committed to creating high-quality AI. We are looking for an Accounting Analyst 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.
Role
- 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 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.
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Accounting Analyst - AI Trainer employer: DataAnnotation
DataAnnotation is an exceptional employer that values flexibility and independence, allowing you to work remotely from the United Kingdom while setting your own schedule. With a focus on meaningful projects in AI training, the company fosters a collaborative work culture that encourages personal growth and skill development in mathematics. Join us to be part of a dynamic team where your expertise can make a significant impact in the evolving field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Accounting Analyst - AI Trainer
✨Tip Number 1
Familiarise yourself with AI and machine learning concepts, especially how they apply to financial analysis. Understanding the basics of how AI models are trained and evaluated will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your financial reasoning skills by working on complex financial problems or case studies. Being able to demonstrate your analytical thinking and problem-solving abilities will be crucial in this role.
✨Tip Number 3
Network with professionals in the finance and AI sectors. Engaging with communities on platforms like LinkedIn can help you gain insights into the industry and potentially connect you with someone at StudySmarter.
✨Tip Number 4
Prepare to discuss your experience with financial modelling and data analysis in detail. Be ready to provide examples of how you've applied these skills in previous roles, as this will showcase your expertise to our hiring team.
We think you need these skills to ace Accounting Analyst - AI Trainer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your financial expertise and any relevant experience in AI or data analysis. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter:Write a cover letter that explains why you're interested in the Accounting Analyst - AI Trainer position. Discuss your background in finance and how it relates to training AI models, showcasing your problem-solving skills.
Showcase Relevant Skills:In your application, emphasise your proficiency in financial analysis and modeling. Provide examples of how you've used these skills in previous roles, especially if they relate to evaluating outputs or improving processes.
Proofread Your Application:Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Financial Expertise
Make sure to highlight your educational background and any relevant experience in financial analysis or related fields. Be prepared to discuss specific projects or tasks where you applied your financial reasoning skills.
✨Demonstrate Problem-Solving Skills
Since the role involves evaluating AI outputs and solving complex problems, be ready to share examples of how you've tackled challenging issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with AI Concepts
Even if you're not an AI expert, having a basic understanding of how AI models work will set you apart. Research common terms and concepts related to AI training and evaluation, so you can engage in informed discussions during the interview.
✨Prepare Questions for the Interviewer
Asking insightful questions shows your interest in the role and the company. Consider asking about the types of projects you'll be working on, the team dynamics, or how success is measured in this position.
