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- Tasks: Evaluate and annotate AI model responses while working independently.
- Company: Join a leading global AI and language technology company.
- Benefits: Flexible remote work, competitive pay, and training opportunities.
- Why this job: Kickstart your tech career by working on real AI projects.
- Qualifications: Fluent English skills and attention to detail required.
- Other info: Perfect for students or anyone looking to break into tech.
The predicted salary is between 11 - 15 £ per hour.
We are currently on behalf of a leading global AI & language technology company, confidentially looking for an English LLM Data Annotator/Evaluator.
Commitment: 20+ hours/week
Location: Remote – long-term UK-based
Application Process:
- Complete the short information form below: Application Form
- Complete a brief qualification task if requested (sent via email after we receive your form)
- Follow up within 1-2 weeks with the next steps.
Role Responsibilities:
- Understand what users are actually asking for in a prompt.
- Compare, evaluate, and label AI model responses according to clear guidelines.
- Classify model responses and assess whether they meet user needs.
- Review and quality-check annotated outputs to ensure consistency and accuracy.
- Work independently and asynchronously with a flexible schedule to meet deadlines.
Qualifications:
- Native or fluent proficiency in English.
- Strong reading comprehension and attention to detail.
- Ability to follow detailed guidelines and deliver high-quality work independently.
- Interest in AI, chatbots, or image recognition models.
- Basic computer skills and fast learning ability.
Compensation: Competitive hourly rates. Payments are issued monthly via Deel. Classified as an independent contractor.
Why Join Us?
- Remote job with flexible hours
- Entry-level path into tech and data science
- Training and guidance from a supportive team
- Opportunity to work on real AI projects
- Great for students, graduates, or career changers
Support: For any help or support, reach out to: bettyxie@t-maxx.cc
Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.
English LLM Data Annotator/Evaluator (Entry level OK, Freelance, Remote in Altrincham employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land English LLM Data Annotator/Evaluator (Entry level OK, Freelance, Remote in Altrincham
✨Tip Number 1
Make sure to fill out that short information form on our website. It’s your first step to getting noticed, and we want to see your enthusiasm right from the start!
✨Tip Number 2
If you get a qualification task, treat it like a mini-interview. Show off your skills and attention to detail – this is your chance to shine and demonstrate what you can bring to the table!
✨Tip Number 3
Don’t be shy about following up! If you haven’t heard back in a week or so, drop us a friendly email. It shows you’re keen and keeps you on our radar.
✨Tip Number 4
Stay flexible and ready to adapt. The role involves working independently, so being organised and managing your time well will help you stand out as a top candidate!
We think you need these skills to ace English LLM Data Annotator/Evaluator (Entry level OK, Freelance, Remote in Altrincham
Some tips for your application 🫡
Be Yourself: When filling out the application form, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your enthusiasm for the role and your interest in AI.
Follow Instructions Carefully: Make sure to read the guidelines provided in the job description. Following instructions is key, especially when it comes to completing any qualification tasks we might send your way after your initial application.
Highlight Relevant Skills: In your application, focus on your reading comprehension, attention to detail, and any experience you have with AI or tech. These are the skills we’re looking for, so make sure they stand out!
Stay in Touch: After you submit your application, don’t forget to follow up within 1-2 weeks. It shows us that you’re genuinely interested in the position and keeps you on our radar!
How to prepare for a job interview at Jobster
✨Know Your Role
Before the interview, make sure you understand the responsibilities of an English LLM Data Annotator/Evaluator. Familiarise yourself with what it means to evaluate AI model responses and how to classify them according to guidelines. This will help you answer questions confidently.
✨Brush Up on AI Basics
Since this role involves working with AI and language technology, it’s a good idea to have a basic understanding of these concepts. Read up on chatbots and image recognition models so you can engage in meaningful discussions during the interview.
✨Showcase Your Attention to Detail
Highlight your ability to follow detailed guidelines and deliver high-quality work. Prepare examples from your past experiences where you demonstrated strong reading comprehension and attention to detail, as these are crucial for the role.
✨Ask Thoughtful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, training opportunities, or the types of projects you might work on. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
