About the Company
Google is a global technology leader constantly innovating in search, cloud computing, advertising, and artificial intelligence. Our mission is to organize the world’s information and make it universally accessible and useful. We foster a culture of curiosity, collaboration, and impact, empowering our employees to tackle complex challenges and create groundbreaking solutions that improve the lives of billions.
Job Description
We are seeking a meticulous and highly motivated Online Data Researcher to join our AI development team. This role is crucial for enhancing the quality and accuracy of our AI models by providing high-fidelity data. You will be responsible for sourcing, evaluating, and annotating various types of online data, contributing directly to the intelligence of Google’s cutting-edge AI products. This is a non-customer-facing role with absolutely no phone work required, focusing entirely on data research and quality. If you have a keen eye for detail, strong analytical skills, and are passionate about the future of AI, we encourage you to apply.
Key Responsibilities
- Execute complex online research tasks to find, verify, and validate data for AI training.
- Categorize and annotate diverse datasets (text, images, audio clips) with precision and consistency.
- Identify and report data discrepancies, patterns, and potential biases.
- Adhere strictly to data quality guidelines and project specifications.
- Collaborate with AI engineers and project managers to understand data requirements and deliver high-quality outputs.
- Maintain high productivity and meet deadlines in a fast-paced environment.
- Contribute to the continuous improvement of data collection and annotation processes.
Required Skills
- Exceptional attention to detail and analytical skills.
- Proficiency in conducting thorough online research using various search engines and databases.
- Strong understanding of English language nuances, grammar, and context.
- Ability to work independently and manage time effectively.
- Comfortable with repetitive tasks while maintaining high accuracy.
- Basic computer literacy and ability to learn new software tools quickly.
Preferred Qualifications
- Previous experience in data entry, data annotation, or online research roles.
- Familiarity with AI/Machine Learning concepts or data labeling platforms.
- Experience with large datasets and data quality assurance.
- Fluency in additional languages (please specify in application).
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- Retirement savings plans with company match.
- Professional development opportunities and training.
- Access to Google's wellness programs and facilities.
- On-site amenities (cafeteria, fitness center, recreational areas).
- Employee assistance programs.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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