Remote AI Model Evaluator & Data Analyst (PhD)
Remote AI Model Evaluator & Data Analyst (PhD)

Remote AI Model Evaluator & Data Analyst (PhD)

Freelance 30 - 50 £ / hour (est.) Home office possible
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At a Glance

  • Tasks: Train AI models and evaluate chatbot outputs while solving coding challenges.
  • Company: Innovative tech company in the UK with a remote-first approach.
  • Benefits: Earn $40+ per hour, flexible hours, and bonuses for quality work.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: PhD required, with strong skills in algorithms and data structures.
  • Other info: Work remotely as an independent contractor with great flexibility.

The predicted salary is between 30 - 50 £ per hour.

An innovative tech company in the United Kingdom is seeking a Data Analyst (PhD) to join their remote team. The successful candidate will train AI models, evaluate AI chatbot outputs, and solve coding challenges using languages like Python or JavaScript.

Strong fluency in English and experience with algorithms and data structures are required. This independent contractor position offers flexibility and payment via PayPal, starting at $40+ USD per hour, plus bonuses for quality work.

Remote AI Model Evaluator & Data Analyst (PhD) employer: DataAnnotation

Join an innovative tech company that values flexibility and independence, offering a remote work environment where you can thrive as a Data Analyst. With competitive pay starting at $40+ USD per hour and opportunities for bonuses based on your performance, you'll be part of a dynamic team that encourages professional growth and fosters a culture of creativity and collaboration. This role not only allows you to contribute to cutting-edge AI technology but also supports your career development in a rapidly evolving field.
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Contact Detail:

DataAnnotation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Remote AI Model Evaluator & Data Analyst (PhD)

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and data analysis space on LinkedIn or relevant forums. A friendly chat can open doors you didn’t even know existed.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI models or coding challenges. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on algorithms and data structures. Practice common coding challenges in Python or JavaScript to impress during technical assessments.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Remote AI Model Evaluator & Data Analyst (PhD)

AI Model Training
AI Chatbot Evaluation
Coding Skills in Python
Coding Skills in JavaScript
Algorithms
Data Structures
Fluency in English
Problem-Solving Skills
Remote Work Capability
Independent Contractor Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AI models and data analysis. We want to see how your skills align with the job description, so don’t be shy about showcasing your Python or JavaScript 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 PhD has prepared you for this role. We love seeing enthusiasm and a personal touch!

Showcase Relevant Projects: If you've worked on any projects related to AI or data analysis, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions of your work!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at DataAnnotation

✨Know Your AI Models

Make sure you brush up on the latest AI models and their evaluation metrics. Be ready to discuss how you've trained models in the past and the specific challenges you faced. This shows your expertise and passion for the field.

✨Showcase Your Coding Skills

Prepare to solve coding challenges during the interview. Practise problems in Python or JavaScript, as these are key languages for the role. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with common algorithms and data structures.

✨Communicate Clearly

Since strong fluency in English is required, focus on articulating your thoughts clearly and concisely. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with team members and stakeholders.

✨Ask Insightful Questions

Prepare a few thoughtful questions about the company's AI projects or team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.

Remote AI Model Evaluator & Data Analyst (PhD)
DataAnnotation

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