At a Glance
- Tasks: Evaluate and annotate AI model responses to ensure they meet user needs.
- Company: Join a leading global AI and language technology company.
- Benefits: Flexible remote work, competitive pay, and training opportunities.
- Other info: Perfect for students or anyone looking to break into tech.
- Why this job: Kickstart your tech career while working on exciting AI projects.
- Qualifications: Fluent English skills and attention to detail required.
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 – United Kingdom
Employment Type: Part-Time/Full-Time | Contract
Application Process:
- Submit your resume to express interest.
- Complete the short information form below: Application Form
- Complete a brief qualification task if requested (sent via email after we receive your application).
- Follow up within a few days 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 (Remote, Entry level OK, Freelance) in Bolton employer: T-Maxx International
Join a leading global AI and language technology company that offers a flexible remote working environment, perfect for entry-level candidates looking to break into tech and data science. With competitive hourly rates, comprehensive training, and the chance to work on real AI projects, this role provides an excellent opportunity for personal and professional growth while being part of a supportive team dedicated to innovation.
StudySmarter Expert Advice🤫
We think this is how you could land English LLM Data Annotator (Remote, Entry level OK, Freelance) in Bolton
✨Tip Number 1
Make sure to tailor your approach! When you apply, highlight your skills that match the job description. We want to see how you can bring value to the role, so don’t be shy about showcasing your relevant experience.
✨Tip Number 2
Follow up after applying! A quick email or message can show your enthusiasm and keep you on their radar. We recommend reaching out a few days after submitting your application to check in on your status.
✨Tip Number 3
Prepare for the qualification task! If they send you a task, treat it like a mini-interview. We suggest reviewing the guidelines carefully and delivering your best work to demonstrate your attention to detail.
✨Tip Number 4
Network with others in the field! Join online forums or groups related to AI and data annotation. We believe connecting with like-minded individuals can provide insights and even lead to job opportunities.
We think you need these skills to ace English LLM Data Annotator (Remote, Entry level OK, Freelance) in Bolton
Some tips for your application 🫡
Craft a Stellar Resume:Make sure your resume is tailored to highlight your English proficiency and any relevant experience. We want to see how you can bring your skills to the table, so don’t hold back!
Fill Out the Info Form:After sending your resume, don’t forget to complete the short information form linked in the job description. It’s a crucial step that helps us get to know you better!
Be Ready for the Qualification Task:If we reach out with a qualification task, take it seriously! This is your chance to show us your attention to detail and understanding of the guidelines. Make it count!
Follow Up:After submitting your application, give us a nudge if you haven’t heard back in a few days. We love proactive candidates, and it shows your enthusiasm for the role!
How to prepare for a job interview at T-Maxx International
✨Know Your Role
Before the interview, make sure you understand the responsibilities of an English LLM Data Annotator. Familiarise yourself with what it means to evaluate and label AI model responses. This will help you answer questions confidently and show that you're genuinely interested in the role.
✨Brush Up on Your Skills
Since attention to detail is crucial for this position, practice your reading comprehension and annotation skills. You might even want to do a few mock evaluations of AI responses to get a feel for the guidelines you'll be following. This hands-on approach will impress your interviewers!
✨Show Your Interest in AI
During the interview, express your enthusiasm for AI and language technology. Share any relevant experiences or projects you've worked on, even if they're just personal interests. This will demonstrate your passion and commitment to the field, making you a more attractive candidate.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of your interview. This could be about the team dynamics, the types of projects you'll be working on, or how success is measured in this role. It shows that you're engaged and eager to learn more about the company and your potential contributions.
