Job Description

Are you someone who notices the little things others might miss? Do you have a natural curiosity about the AI industry and how machine learning actually works? If so, this could be the perfect opportunity for you ?
Join Label Your Data as a Project Data Annotator and step into the exciting world of data labeling. Work with an international team of AI enthusiasts, and gain hands-on experience while learning best practices in the field.
What you'll be doing:

• Labeling images, videos, texts, audio etc. using special markup tools;
• Identifying and tagging key information with high accuracy based on task guidelines;
• Analyzing data and classifying it into defined categories.

Requirements:

• B2+ written and spoken English;
• Ability to quickly analyze and achieve required KPIs of performance and quality;
• Confident use of Google services (docs, sheets, slides, drive);
• Understanding of IT terminology;
• Previous experience in data annotation will be a privilege.

We offer you:

• Flexible schedule;
• Fully remote work;
• Comprehensive training;
• Competitive compensation in USD;
• Supportive management with no bureaucracy;
• Opportunities for financial and professional growth.

Who are we?
Machine Learning (ML) is setting a new milestone for the future of technology development. Data is the most vital resource for any AI-boosted application.
Building on this idea, Label Your Data has been providing high-quality, secure, and flexible data annotation services for any industry, including Retail & E-commerce, Security, Fintech, Health Care, Real Estate, Autonomous Vehicles, Insurance, and Robotics since 2020.
We're a growing company aiming to create state-of-the-art, reliable, and tech-driven data annotation solutions for businesses all over the world. The safety of our client's data is our priority. Grab your chance to join us, and send us your CV in English pointing out your outstanding skills.
Visit our website:
*We celebrate diversity and are proud to be an equal opportunity employer.

Skills Required