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- Tasks: Evaluate and enhance AI responses while designing engaging conversational prompts.
- Company: Join a forward-thinking company focused on AI quality and personalization.
- Benefits: Earn $11/hr with flexible remote work and valuable experience in AI.
- Why this job: Be at the forefront of AI technology and make a real difference in user experience.
- Qualifications: Fluency in English and strong analytical skills required.
- Other info: Ideal for self-motivated individuals seeking short-term, impactful work.
The predicted salary is between 10 - 13 £ per hour.
Position: LLM – AI Quality Analyst (Personalization) – English
Type: Short-Term Contract
Location: Remote
Commitment: 30–40 hours/week
Engagement Length: 2 months
Start Date: Immediate
Role Responsibilities
- Design multi-turn conversational prompts based on personal context
- Evaluate personalized AI responses for relevance, grounding, and helpfulness
- Assess correct and incorrect use of personal data in model outputs
- Perform side-by-side (SxS) evaluation and ranking of AI responses
- Identify grounding errors, poor inferences, and forced personalization
- Write clear, structured rationales referencing specific conversation turns
- Extract and verify model debug information and data source usage
- Maintain strict data hygiene by deleting evaluation conversations
Requirements
- English fluency (reading and writing)
- Strong experience in data annotation, AI quality evaluation, content moderation, or related roles
- Strong analytical thinking and attention to detail
- Ability to evaluate nuanced and ambiguous AI responses
- Comfortable using a primary personal Google account with enabled data sources
- BS/BA degree or equivalent experience in a relevant analytical field
- Strong written communication and structured feedback skills
- Self-motivated and able to work independently in a remote setting
- Reliable desktop/laptop with stable internet connection
Data Labeling Analyst (English) | $11/hr Remote employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Labeling Analyst (English) | $11/hr Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data analysis space on LinkedIn or other platforms. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data annotation or AI evaluation projects. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI quality analysis. We recommend using real-world examples from your experience to demonstrate your analytical thinking and attention to detail.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Labeling Analyst (English) | $11/hr Remote
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your relevant experience in data annotation and AI quality evaluation. We want to see how your skills match the role, so don’t hold back on showcasing your analytical thinking!
Show Off Your Communication Skills: Since strong written communication is key for this role, ensure your application is clear and structured. Use concise language and make your points easy to follow – we love a well-organised application!
Highlight Your Attention to Detail: In your application, give examples that demonstrate your attention to detail. Whether it’s through previous roles or projects, we want to know how you’ve successfully evaluated nuanced AI responses in the past.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Crossing Hurdles
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and data annotation. Familiarise yourself with how conversational prompts work and what makes a good AI response. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Show Off Your Analytical Skills
Prepare examples from your past experiences where you've had to evaluate data or assess quality. Think about specific situations where your attention to detail made a difference. This will help demonstrate your analytical thinking, which is crucial for this position.
✨Practice Clear Communication
Since you'll need to write structured rationales and provide feedback, practice articulating your thoughts clearly. You might want to do some mock interviews or even write down your thoughts on AI responses to get comfortable with expressing your ideas succinctly.
✨Get Tech Ready
Ensure your tech setup is reliable. Test your internet connection and make sure your laptop is in good shape. Being tech-savvy and prepared will help you feel more confident during the interview, especially since it's remote.