Data Annotation Specialist – AI & Machine Learning

About the Company

Google is a global technology leader that strives to organize the world’s information and make it universally accessible and useful. We build products and services that improve the lives of billions of people globally, from Search and Ads to Chrome, Android, YouTube, and Google Cloud. Our commitment to innovation extends to cutting-edge research and development in Artificial Intelligence and Machine Learning, where high-quality data is the foundation of our success. Join us to be part of a team that’s shaping the future of AI.

Job Description

We are seeking a highly detail-oriented and motivated Data Annotation Specialist to join our AI & Machine Learning team. This is a crucial entry-level role responsible for labeling and annotating various types of data (text, images, audio, video) to train and improve our machine learning models. Your work will directly impact the performance and accuracy of Google’s AI-powered products and services. This is a 100% remote position, offering flexibility and the opportunity to contribute from anywhere in Canada.

Key Responsibilities

• Accurately annotate and label diverse datasets according to established guidelines and taxonomies.
• Perform quality assurance on annotated data, identifying and correcting inconsistencies or errors.
• Provide clear and concise feedback on annotation guidelines to improve clarity and efficiency.
• Collaborate with data scientists and engineers to understand project requirements and contribute to model improvement.
• Maintain high levels of productivity and quality in a fast-paced environment.
• Participate in training sessions to learn new annotation tools and project methodologies.
• Adhere to strict data privacy and security protocols.

Required Skills

• Excellent attention to detail and strong analytical skills.
• Proficiency in English with strong reading comprehension.
• Strong computer literacy and comfort with various software applications.
• Ability to follow complex instructions and adapt to changing guidelines.
• Self-motivated and able to work independently in a remote setting.
• Reliable internet connection and a dedicated home office space.
• Basic understanding of data privacy and confidentiality.

Preferred Qualifications

• Experience with data annotation or labeling tools (e.g., Prodigy, Labelbox, V7).
• Familiarity with AI, Machine Learning, or Natural Language Processing concepts.
• Prior experience working remotely.
• Bachelor's degree in a related field (e.g., Linguistics, Computer Science, Data Science).

Perks & Benefits

• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Remote work setup stipend.
• Professional development and learning opportunities.
• Access to Google's internal resources and training programs.
• Employee assistance program.
• Flexible work schedule.

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