Customer Success Manager in London

Customer Success Manager in London

London Full-Time 24000 - 36000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Train AI models, evaluate their logic, and enhance chatbot quality.
  • Company: Join a forward-thinking team focused on AI innovation.
  • Benefits: Flexible remote work, choose your projects, and earn $20+ per hour.
  • Why this job: Make a real impact in AI while working on your own schedule.
  • Qualifications: Fluency in English and strong analytical skills required.
  • Other info: Independent contract position with excellent growth potential.

The predicted salary is between 24000 - 36000 £ per year.

We are looking for a Customer Success Manager 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 content analysis and evaluation.

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 $20+ USD per hour, with bonuses on high-quality and high-volume work.

Responsibilities:

  • Give AI chatbots writing and editing tasks 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.
  • Demonstrated ability to analyze and evaluate content using reasoning and critical thinking skills.
  • A current, in progress, or completed Bachelor’s degree is preferred but not required.

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.

Customer Success Manager in London employer: DataAnnotation

Join our innovative team as a Customer Success Manager, where you will have the flexibility to work remotely and choose projects that excite you. We foster a supportive work culture that values your expertise in content analysis, offering competitive hourly rates starting at $20+ USD, along with bonuses for exceptional work. With opportunities for personal growth and the ability to manage your own schedule, this role is perfect for those seeking meaningful and rewarding employment in the AI field.
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Contact Detail:

DataAnnotation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Customer Success Manager in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, join relevant groups on social media, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings.

✨Tip Number 2

Prepare for those interviews! Research the company and its AI projects thoroughly. Be ready to discuss how your skills in content analysis and evaluation can help improve their chatbots. Show them you’re not just another candidate!

✨Tip Number 3

Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’re the perfect fit.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect match for your skills. Plus, applying directly helps us keep track of your application and gives you a better chance of standing out.

We think you need these skills to ace Customer Success Manager in London

Content Analysis
Evaluation Skills
Problem-Solving Skills
Critical Thinking
Attention to Detail
Fluency in English
Research Skills
Editing Skills
Writing Skills
Analytical Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your application for the Customer Success Manager role. Highlight your experience with content analysis and evaluation, as well as any relevant skills that match what we're looking for.

Showcase Your Skills: Don’t hold back on showcasing your critical thinking and problem-solving abilities. We want to see how you can measure progress and improve AI models, so give us examples of your past work that demonstrate these skills.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences without unnecessary fluff.

Apply Through Our Website: Remember to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come in directly from our site!

How to prepare for a job interview at DataAnnotation

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI models and chatbots. Understand how they work, what common issues they face, and how to evaluate their outputs. This will show that you're not just interested in the role but also have a genuine understanding of the technology you'll be working with.

✨Show Off Your Analytical Skills

Prepare examples from your past experiences where you've successfully analysed and evaluated content. Be ready to discuss specific situations where your critical thinking made a difference. This will help demonstrate your detail-oriented nature and problem-solving abilities.

✨Flexibility is Key

Since this is a remote position with flexible hours, be prepared to discuss how you manage your time effectively. Share strategies you use to stay organised and productive while working independently. This will reassure them that you can handle the freedom of remote work.

✨Ask Smart Questions

At the end of the interview, don’t forget to ask insightful questions about the projects you'll be working on or the team dynamics. This shows your enthusiasm for the role and helps you gauge if the company culture aligns with your values.

Customer Success Manager in London
DataAnnotation
Location: London

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