At a Glance
- Tasks: Evaluate and transcribe calls in multiple languages for quality assurance.
- Company: Join Obsidian, a leader in multilingual evaluation projects.
- Benefits: Flexible hours, competitive pay, and a chance to work on exciting AI projects.
- Other info: Short-term sprint lasting 2-4 weeks with consistent weekly hours.
- Why this job: Make an impact by ensuring high-quality communication across languages.
- Qualifications: Native fluency in English, Spanish, or Portuguese; attention to detail is key.
The predicted salary is between 30000 - 40000 £ per year.
Obsidian is launching a new multilingual evaluation sprint in Greater London. Participants will engage in call evaluation and transcription tasks, ensuring high quality and consistency. The project focuses on evaluating calls across various languages, including English, Spanish, and Portuguese.
Applicants must possess native fluency in one of the required languages and attention to detail in scoring calls. Experience in data annotation or AI-related work is preferred. This short-term sprint will last 2–4 weeks with consistent weekly hours and the requirement of a security setup.
Multilingual Call Quality Evaluator - Short-Term Sprint employer: Obsidian
Obsidian is an excellent employer, offering a dynamic work environment in Greater London where multilingual talents can thrive. With a focus on employee growth and development, the company provides opportunities for meaningful engagement in AI-related projects while fostering a collaborative culture that values attention to detail and quality. The short-term nature of this role allows for flexibility and the chance to contribute to impactful evaluations across diverse languages.
StudySmarter Expert Advice🤫
We think this is how you could land Multilingual Call Quality Evaluator - Short-Term Sprint
✨Tip Number 1
Make sure you brush up on your language skills before the interview. We want to see that native fluency shine through, so practice speaking and listening in your chosen language to feel confident.
✨Tip Number 2
Familiarise yourself with call evaluation criteria. Understanding what makes a call high quality will help you score effectively during the tasks. We recommend checking out resources on call scoring to get a head start.
✨Tip Number 3
Network with others who have experience in data annotation or AI-related work. They can provide insights and tips that could give you an edge. Plus, it’s always good to connect with like-minded folks!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see your skills in action, so let’s make it happen!
We think you need these skills to ace Multilingual Call Quality Evaluator - Short-Term Sprint
Some tips for your application 🫡
Show Off Your Language Skills:Make sure to highlight your native fluency in one of the required languages. We want to see how well you can communicate and evaluate calls, so don’t hold back on showcasing your language prowess!
Attention to Detail is Key:Since this role involves scoring calls, it’s super important to demonstrate your attention to detail. We love candidates who can spot the little things that make a big difference, so give examples of how you've done this in the past.
Relevant Experience Matters:If you’ve got experience in data annotation or any AI-related work, make sure to mention it! We’re looking for folks who understand the nuances of call evaluation, so let us know how your background fits the bill.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to get your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Obsidian
✨Brush Up on Your Language Skills
Make sure you're comfortable with the languages you'll be evaluating. Practise speaking and listening to ensure you can accurately assess call quality in English, Spanish, or Portuguese. This will not only boost your confidence but also show the interviewers that you're serious about the role.
✨Familiarise Yourself with Call Evaluation Criteria
Research what makes a high-quality call. Understand the key metrics used in call evaluations, such as clarity, tone, and adherence to scripts. Being able to discuss these criteria during your interview will demonstrate your attention to detail and readiness for the task.
✨Showcase Relevant Experience
If you've worked in data annotation or AI-related roles before, be ready to share specific examples. Highlight any relevant projects where you evaluated calls or transcribed audio. This will help the interviewers see how your background aligns with their needs.
✨Prepare for Security Setup Questions
Since this role requires a security setup, be prepared to discuss your experience with secure data handling. Familiarise yourself with any protocols or tools you've used in the past. Showing that you understand the importance of security in this context will set you apart from other candidates.
