At a Glance
- Tasks: Analyse datasets and provide insights to ensure data quality.
- Company: U.S.-based tech firm with a focus on language data.
- Benefits: Flexible hours and competitive pay between $13.00 to $14.00 per hour.
- Why this job: Perfect for those seeking supplemental income while working remotely.
- Qualifications: Proficiency in English and some experience in data quality assurance.
- Other info: Ideal for proactive individuals comfortable with task-based assignments.
The predicted salary is between 10 - 11 £ per hour.
A U.S.-based technology firm is seeking a Language Data and Quality Reviewer for a freelance, task-based position. The role requires proficiency in English and involves analyzing datasets to provide valuable insights.
Candidates should have a proactive attitude and some experience in data quality assurance. This position offers flexible hours with compensation ranging from $13.00 to $14.00 per hour, making it ideal for supplemental income seekers. Ideal candidates will work remotely and be comfortable with task-based assignments.
Remote Freelance Language Data Quality Reviewer (English) employer: Volgapartners
Contact Detail:
Volgapartners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Freelance Language Data Quality Reviewer (English)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant groups. You never know who might have a lead on a freelance gig that’s perfect for us.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data quality assurance work. This will help us stand out when applying for roles like the Language Data Quality Reviewer.
✨Tip Number 3
Stay proactive! Regularly check our website for new job postings and apply as soon as you see something that fits. The early bird catches the worm, right?
✨Tip Number 4
Prepare for interviews by brushing up on common questions related to data quality. We can even do mock interviews together to boost our confidence before the big day!
We think you need these skills to ace Remote Freelance Language Data Quality Reviewer (English)
Some tips for your application 🫡
Show Off Your Language Skills: Make sure to highlight your proficiency in English. We want to see how well you can analyse and review language data, so don’t hold back on showcasing your skills!
Be Proactive in Your Approach: Since we’re looking for candidates with a proactive attitude, share examples of how you've taken initiative in past roles. This will help us see that you’re the right fit for our freelance position.
Tailor Your Application: Take a moment to customise your application for this role. Mention any relevant experience in data quality assurance and how it relates to the tasks you’ll be handling with us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Volgapartners
✨Know Your Data
Before the interview, brush up on your understanding of data quality assurance. Familiarise yourself with common issues in datasets and how to identify them. This will show the interviewer that you’re proactive and knowledgeable about the role.
✨Showcase Your Experience
Prepare specific examples from your past work where you successfully analysed datasets or improved data quality. Be ready to discuss the tools you used and the impact of your work. This will help demonstrate your relevant experience and skills.
✨Ask Insightful Questions
Come prepared with questions about the company’s data processes and the types of projects you might be working on. This not only shows your interest but also helps you gauge if the role aligns with your expectations.
✨Emphasise Flexibility and Proactivity
Since this role offers flexible hours, highlight your ability to manage your time effectively and your proactive approach to completing tasks. Share examples of how you’ve successfully worked independently in the past.