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- Tasks: Evaluate and annotate AI model responses while working independently.
- Company: Leading global AI & language technology company with a supportive team.
- Benefits: Flexible remote hours, 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, graduates, or anyone looking to change careers.
The predicted salary is between 13 - 16 £ 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.
- 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 us.
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 City of London 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 City of London
✨Tip Number 1
Make sure to tailor your approach when applying for the English LLM Data Annotator role. Highlight your attention to detail and any relevant experience with AI or language technology in your conversations. This will show us that you understand what we're looking for!
✨Tip Number 2
Don’t just submit your application and wait! Follow up within a few days to express your enthusiasm for the position. A quick message can keep you on our radar and shows us you're genuinely interested in joining our team.
✨Tip Number 3
If you get asked to complete a qualification task, treat it like a mini-interview. Show us your best work by following the guidelines closely and demonstrating your understanding of user needs. This is your chance to shine!
✨Tip Number 4
Remember, we’re all about flexibility and support here. If you have questions during the application process or need clarification, don’t hesitate to reach out. We’re here to help you succeed in landing this exciting opportunity!
We think you need these skills to ace English LLM Data Annotator/Evaluator (Entry level OK, Freelance, Remote) in City of London
Some tips for your application 🫡
Craft a Catchy Resume: Make sure your resume stands out! Highlight any relevant experience, skills, and your passion for AI. Keep it clear and concise – we want to see what makes you unique!
Fill Out the Info Form Thoughtfully: When you complete the short information form, take your time. We’re looking for genuine responses that reflect your interest in the role. Show us why you’d be a great fit!
Ace the Qualification Task: If we send you a qualification task, treat it like a mini-interview. Follow the guidelines closely and showcase your attention to detail. This is your chance to shine!
Follow Up Like a Pro: After submitting your application, don’t hesitate to follow up within a few days. A quick message shows your enthusiasm 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 the role involves working with AI and language technology, show your enthusiasm for these fields. Share any relevant projects or experiences you have, even if they are personal or academic. This will help the interviewer see your passion and potential.
✨Prepare for the Qualification Task
If a qualification task is part of the process, practice similar tasks beforehand. Brush up on your skills in evaluating and labelling responses. Being prepared will not only boost your confidence but also show that you take the opportunity seriously.
