At a Glance
- Tasks: Evaluate and label datasets to enhance AI systems for voice conversations.
- Company: Join MetaVoice, a pioneering company in AI technology.
- Benefits: Competitive pay, office environment, and potential for contract extension.
- Other info: Exciting opportunity to work in London Bridge with a dynamic team.
- Why this job: Be part of a team that shapes the future of human-like AI interactions.
- Qualifications: Detail-oriented with basic computer skills and reliability for office work.
The predicted salary is between 24000 - 32000 £ per year.
MetaVoice is building AI for voice conversations that feel like you're talking to a human. We’re hiring detail-oriented Data Evaluators/Labellers to help improve our AI systems. You will evaluate and label datasets to help our models get smarter and more reliable.
Role Details
- Location: Work from office (5 days a week)
- Type: 2-month contract (with potential to extend)
- Pay: £32K pa (pro rata)
- Start: ASAP
What You’ll Do
- Evaluate and label data with accuracy and consistency
- Review AI outputs and provide quality feedback
Requirements
- Strong attention to detail
- Comfortable with repetitive tasks
- Basic computer literacy (spreadsheets, annotation tools)
- Reliability to commit to office-based work, Mon–Fri (we're based in London Bridge!)
Data Evaluator / Annotator employer: MetaVoice
MetaVoice is an exceptional employer, offering a dynamic work environment in the heart of London Bridge where innovation meets collaboration. With a strong focus on employee growth, we provide opportunities for skill enhancement and career progression while fostering a supportive culture that values detail-oriented contributions. Join us to be part of a forward-thinking team dedicated to shaping the future of AI in voice technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Evaluator / Annotator
✨Tip Number 1
Get to know the company! Before you step into that interview, do a bit of homework on MetaVoice. Understand their mission and values, and think about how your skills as a Data Evaluator can contribute to their goals.
✨Tip Number 2
Practice makes perfect! Brush up on your data evaluation skills and get familiar with annotation tools. The more confident you are in your abilities, the better you'll perform during assessments or practical tests.
✨Tip Number 3
Show off your attention to detail! During the interview, share examples of how you've successfully handled repetitive tasks in the past. This will demonstrate your reliability and commitment to quality work.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows you're serious about the role and gives us a chance to connect with you right away.
We think you need these skills to ace Data Evaluator / Annotator
Some tips for your application 🫡
Show Off Your Attention to Detail:When you're applying for the Data Evaluator role, make sure to highlight your attention to detail. We want to see examples of how you've been meticulous in past jobs or projects, as this is key for evaluating and labelling data accurately.
Be Clear About Your Experience:If you've worked with spreadsheets or annotation tools before, let us know! Share specific experiences that demonstrate your comfort with these tools, as it’ll show us you’re ready to hit the ground running.
Express Your Reliability:Since this role requires a commitment to office-based work, it’s important to convey your reliability. Mention any previous roles where you consistently showed up and delivered on time, as we value dependable team members.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at MetaVoice
✨Know Your Data
Before the interview, brush up on your understanding of data evaluation and labelling. Familiarise yourself with common annotation tools and techniques, as well as the importance of accuracy and consistency in this role.
✨Show Your Attention to Detail
During the interview, be prepared to demonstrate your attention to detail. You might be asked to evaluate a sample dataset or identify errors in AI outputs, so practice these skills beforehand to showcase your capabilities.
✨Be Ready for Repetitive Tasks
Since the job involves repetitive tasks, it’s essential to convey your comfort with this aspect. Share examples from past experiences where you successfully managed similar responsibilities without losing focus.
✨Commit to the Office Culture
MetaVoice values reliability and commitment to office-based work. Make sure to express your enthusiasm for working in a team environment and your readiness to be present in the office five days a week.
