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For Companies At a Glance
- Tasks: Evaluate and annotate AI model responses while working independently.
- Company: Join a supportive team in the exciting world of AI.
- Benefits: Flexible remote hours, competitive pay, and monthly payments.
- Why this job: Kickstart your tech career with real AI projects and training.
- 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 - 16 £ per hour.
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) - Studentjob.co.uk in Leeds 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) - Studentjob.co.uk in Leeds
✨Tip Number 1
Make sure to follow up on your application! A quick email or message can show your enthusiasm and keep you on their radar. We all know that a little nudge can go a long way.
✨Tip Number 2
Prepare for the qualification task by brushing up on your understanding of AI and chatbots. We recommend doing some research or even practicing with similar tasks to boost your confidence.
✨Tip Number 3
Network with others in the field! Join online forums or social media groups related to AI and data annotation. We can learn a lot from each other, and you might even find someone who can refer you.
✨Tip Number 4
Don’t hesitate to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing enthusiastic candidates who are eager to join our team.
We think you need these skills to ace English LLM Data Annotator/Evaluator (Entry level OK, Freelance, Remote) - Studentjob.co.uk in Leeds
Some tips for your application 🫡
Craft a Stellar Resume: Make sure your resume is up-to-date and highlights your relevant skills. We want to see your proficiency in English and any experience that shows your attention to detail.
Fill Out the Info Form Carefully: When you complete the short information form, double-check your answers. 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 send you a qualification task, take it seriously! It’s a great opportunity to showcase your understanding of user prompts and your ability to follow guidelines.
Follow Up Like a Pro: After submitting your application, don’t hesitate to follow up within a few days. It shows your interest and keeps you on our radar as we review applications daily.
How to prepare for a job interview at Jobster
✨Know the Role Inside Out
Before your interview, make sure you thoroughly understand the responsibilities of an English LLM Data Annotator/Evaluator. Familiarise yourself with what users might ask in prompts and how to evaluate AI responses. This will help you answer questions confidently and show that you're genuinely interested in the role.
✨Showcase Your Attention to Detail
Since this role requires a keen eye for detail, be prepared to discuss examples from your past experiences where you've demonstrated this skill. Whether it's through academic work or personal projects, highlight how you ensured accuracy and consistency in your outputs.
✨Express Your Interest in AI
The job mentions an interest in AI, chatbots, or image recognition models. Make sure to convey your enthusiasm for these topics during the interview. Share any relevant experiences or projects you've worked on, even if they're just personal interests, to show that you're engaged and eager to learn more.
✨Prepare for the Qualification Task
If you're asked to complete a qualification task, treat it like a mini-interview. Follow the guidelines carefully and ensure your work is high-quality. This is your chance to demonstrate your skills and attention to detail, so take it seriously and submit your best work.