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- Tasks: Evaluate and annotate AI model responses while ensuring quality and accuracy.
- 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, attention to detail, and interest in AI.
- 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 – 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/Evaluator (Entry level OK, Freelance, Remote) in Bolton employer: T-Maxx International
Contact Detail:
T-Maxx International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land English LLM Data Annotator/Evaluator (Entry level OK, Freelance, Remote) in Bolton
✨Tip Number 1
Make sure to showcase your passion for AI and language technology during interviews. We want to see that you’re genuinely interested in the field, so share any relevant experiences or projects you've worked on!
✨Tip Number 2
Don’t hesitate to follow up after submitting your application. A quick email can show your enthusiasm and keep you on their radar. We recommend reaching out within a few days to check on your application status.
✨Tip Number 3
Prepare for potential qualification tasks by brushing up on your reading comprehension and attention to detail. We suggest practising with sample prompts to get comfortable with evaluating responses before you get the task.
✨Tip Number 4
Utilise our website to apply directly! It’s the best way to ensure your application is seen by the right people. Plus, it shows you’re proactive and ready to jump into this exciting opportunity.
We think you need these skills to ace English LLM Data Annotator/Evaluator (Entry level OK, Freelance, Remote) 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 Carefully: When you complete the short information form, double-check your details. This is your chance to shine, so make sure everything is accurate and reflects your enthusiasm for the role!
Be Ready for the Qualification Task: If we reach out with a qualification task, take it seriously! It’s a great opportunity to show us your attention to detail and understanding of the guidelines. Put your best foot forward!
Follow Up Like a Pro: After submitting your application, don’t be shy about following up within a few days. A quick message shows your interest and keeps you on our radar. We love proactive candidates!
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/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.
✨Showcase Your Skills
Highlight your reading comprehension and attention to detail during the interview. Be ready to discuss examples from your past experiences where you've had to follow detailed guidelines or deliver high-quality work independently. This will demonstrate that you're a great fit for the role.
✨Express Your Interest in AI
Since this role involves working with AI and language technology, show your enthusiasm for the field. Share any relevant projects or experiences you have, even if they are personal or academic. This can set you apart from other candidates who may not have the same passion.
✨Prepare for the Qualification Task
If you're asked to complete a qualification task, take it seriously! Review the guidelines carefully and ensure your work is accurate and consistent. Practising similar tasks beforehand can also help you feel more prepared and confident when the time comes.
