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- Tasks: Train AI models by solving complex maths problems and evaluating chatbot performance.
- Company: Join a forward-thinking team at DataAnnotation, focused on AI innovation.
- Benefits: Flexible remote work, choose your projects, and earn $40+ per hour with bonuses.
- Why this job: Make a real impact in AI while working on your own schedule.
- Qualifications: PhD required; strong maths skills and attention to detail are essential.
- Other info: Independent contract position with excellent growth potential.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Data Analyst (PhD) with an advanced degree 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.
To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role will require proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) in order to solve coding problems (think LeetCode, HackerRank, etc.). For each coding problem, you must be able to explain how your solution solves the problem.
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 $40+ USD per hour, with bonuses on high-quality and high-volume work
Responsibilities
- Give AI chatbots coding challenges 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
- Experience with algorithms, data structures, and debugging workflows
- A current, in progress, or completed PhD is required
Notes
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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Data Analyst (PhD) employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (PhD)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a Data Analyst role. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially any projects related to AI models or complex mathematics problems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you tackle problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Data Analyst (PhD)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree and relevant skills in mathematics and computer science. We want to see how your background aligns with the Data Analyst role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience can contribute to our team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We’re looking for detail-oriented individuals who can evaluate and improve AI models, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s straightforward and ensures your application gets to the right people quickly. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at DataAnnotation
✨Know Your Maths Inside Out
Since this role requires expert-level mathematical reasoning, brush up on your arithmetic, algebra, geometry, calculus, and statistics. Be ready to discuss how you've applied these skills in your previous work or studies, as well as any relevant projects.
✨Familiarise Yourself with AI Models
Understand the basics of AI chatbots and how they function. Research common evaluation metrics used in AI model performance. This will help you articulate your thoughts during the interview and show that you're genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to tackle some complex mathematics problems during the interview. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and ability to communicate effectively.
✨Showcase Your Detail Orientation
As a Data Analyst, attention to detail is crucial. Prepare examples from your past experiences where your meticulous nature led to successful outcomes. This could be anything from ensuring data accuracy to improving model performance through careful evaluation.
