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- Tasks: Collaborate on AI projects to enhance GenAI models' reasoning and question-answering skills.
- Company: Join Mindrift, where innovation meets opportunity in shaping the future of AI.
- Benefits: Enjoy flexible scheduling, part-time remote work, and the chance to influence cutting-edge AI projects.
- Why this job: Shape the future of AI while working on exciting projects that benefit society.
- Qualifications: Bachelor's or Master's in Finance with at least 3 years of relevant experience required.
- Other info: Selection includes an AI interview; candidates should be ready to start ASAP.
Freelance Finance Analyst – AI/ML Trainer
Join to apply for the Freelance Finance Analyst – AI/ML Trainer role at Braintrust.
Get AI-powered advice on this job and more exclusive features.
Job Description
Important: Review the job description and rate details carefully. The final rate depends on your experience. Candidates with 5+ years of experience will be offered the maximum hourly rate; those with 1–3 years will be offered a lower rate.
Compensation
Hourly rates vary by country:
- USA: $36-$45 USD / hr
- UK, Ireland: $31-40 USD / hr
- Canada, Australia, New Zealand: $31-$40 USD / hr
- European countries: $27-40 USD / hr
- Other regions: see details in original description.
Description
At Mindrift, innovation meets opportunity. We believe in using collective intelligence to ethically shape the future of AI.
What We Do
The platform connects specialists with AI projects from major tech firms, aiming to unlock Generative AI potential through real-world expertise.
About The Role
As a Finance Analyst, you’ll collaborate on projects to improve GenAI models’ reasoning and specialized question-answering capabilities. Tasks may include:
- Generating prompts challenging AI
- Defining scoring criteria for AI answers
- Correcting AI responses using your domain knowledge
How To Get Started
Apply, qualify, and contribute on your schedule—help shape AI’s future while benefiting society.
Requirements
- Bachelor’s or Master’s in Finance
- At least 3 years of professional finance experience in areas like Financial Forecasting, Risk Management, etc.
- Advanced English (C1 or above)
- Willingness to learn, adapt, and follow complex guidelines
- Fully remote role: laptop, internet, enthusiasm required
Benefits
- Part-time, remote, flexible scheduling
- Work on cutting-edge AI projects
- Influence future AI models in your field
Selection involves an AI interview or short assessment. Candidates should be available to start ASAP.
Seniority level
- Mid-Senior level
Employment type
- Part-time
Job function
- Finance and Sales
Industries
- Technology, Information and Internet
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Locations recently posted: Greater London, London Area, Bristol, Salfords, Cambridge.
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Freelance Finance Analyst - AI/ML Trainer employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Finance Analyst - AI/ML Trainer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to finance. This knowledge will not only help you during the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the AI and finance sectors. Engaging with others in these fields can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare for the AI interview or assessment by practising common finance-related scenarios that require analytical thinking. Being able to showcase your problem-solving skills in real-time will set you apart from other candidates.
✨Tip Number 4
Showcase your adaptability and willingness to learn during any discussions. Highlighting your ability to follow complex guidelines and adapt to new technologies will resonate well with the hiring team at Mindrift.
We think you need these skills to ace Freelance Finance Analyst - AI/ML Trainer
Some tips for your application 🫡
Understand the Role: Carefully read the job description for the Freelance Finance Analyst - AI/ML Trainer position. Make sure you understand the key responsibilities and requirements, such as the need for a Bachelor's or Master's in Finance and at least 3 years of relevant experience.
Tailor Your CV: Customise your CV to highlight your finance experience, especially in areas like Financial Forecasting and Risk Management. Emphasise any previous work related to AI or machine learning to align with the role's focus.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for finance and AI. Mention specific projects or experiences that demonstrate your ability to improve GenAI models and your willingness to learn and adapt.
Prepare for the AI Interview: Since the selection process includes an AI interview or assessment, practice answering common finance-related questions and be ready to discuss how you would approach tasks like generating prompts and defining scoring criteria for AI answers.
How to prepare for a job interview at Braintrust
✨Showcase Your Finance Expertise
Make sure to highlight your relevant experience in finance, especially in areas like Financial Forecasting and Risk Management. Be prepared to discuss specific projects or challenges you've faced and how you overcame them.
✨Demonstrate AI Knowledge
Since the role involves working with AI models, it's crucial to show your understanding of AI and machine learning concepts. Brush up on how these technologies apply to finance and be ready to discuss any relevant experience you have.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work with AI. Practice articulating your thought process when generating prompts or correcting AI responses using your domain knowledge.
✨Emphasise Adaptability and Learning
The job requires a willingness to learn and adapt to complex guidelines. Share examples from your past where you've successfully adapted to new processes or technologies, showcasing your enthusiasm for continuous learning.
