At a Glance
- Tasks: Train AI models by evaluating their logic and solving complex problems.
- Company: Join a forward-thinking team focused on AI development and innovation.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Be part of cutting-edge AI projects that challenge your analytical skills and creativity.
- Qualifications: Fluency in English and strong skills in statistics and mathematics are essential.
- Other info: Payment is via PayPal; no fees will be charged to you.
The predicted salary is between 63000 - 84000 £ per year.
We are looking for a quantitative analyst to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of statistical/mathematical reasoning - a completed or in-progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Applied Math and/or Computer Science.
Benefits: This is a full-time or part-time REMOTE position. You will 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 $40+ per hour, with bonuses on high-quality and high-volume work.
Responsibilities:
- Give AI chatbots diverse and complex mathematics 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 data analysis, statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/deductive reasoning.
- A completed or in-progress 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.
Job Types: Full-time, Part-time
Pay: From GBP30.36 per hour
Expected hours: 1 - 40 per week
Work Location: Remote
Quantitative Analyst - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest AI trends and technologies. Being knowledgeable about current advancements in AI and machine learning will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with online communities and forums related to quantitative analysis and AI. Networking with professionals in these spaces can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss specific mathematical concepts and their applications in AI during interviews. Be ready to showcase your problem-solving skills through examples of how you've tackled complex mathematical challenges in the past.
✨Tip Number 4
Consider creating a portfolio that highlights your data analysis projects or any relevant work you've done. This can serve as a practical demonstration of your skills and make you stand out to potential employers.
We think you need these skills to ace Quantitative Analyst - AI Trainer
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your expertise in statistical and mathematical reasoning. Mention specific skills such as data analysis, statistics, and any relevant software or programming languages you are proficient in.
Tailor Your CV: Customise your CV to reflect the qualifications and responsibilities mentioned in the job description. Include any academic achievements, especially if you have a Masters or PhD, and relevant projects that showcase your analytical skills.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the role of Quantitative Analyst - AI Trainer. Discuss your passion for AI and how your background in mathematics or computer science makes you a suitable candidate.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors, clarity, and ensure that all information is accurate. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis and statistical reasoning. Be ready to provide examples of how you've applied these skills in previous roles or projects, especially in relation to AI or quantitative analysis.
✨Demonstrate Problem-Solving Abilities
Expect to face complex mathematical problems during the interview. Practice solving various types of problems beforehand, and be prepared to explain your thought process clearly as you work through them.
✨Familiarise Yourself with AI Concepts
Brush up on your knowledge of AI models and their evaluation metrics. Understanding how AI chatbots function and the common challenges they face will help you articulate your insights during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the projects you'll be working on. This shows your genuine interest in the position and helps you assess if it's the right fit for you.