Job Description
Company Overview
Google is a global technology leader dedicated to organizing the world’s information and making it universally accessible and useful. With a culture of innovation and a commitment to responsible AI, Google continuously improves its products and services through high‑quality data. The company supports a fully remote workforce, offering flexibility, collaborative tools, and a supportive environment for professionals worldwide.
Key Responsibilities
Key Responsiblities For "Remote Data Classifier" Main job duties
- Review, label, and classify large volumes of text, image, audio, and video data according to detailed guidelines.
- Ensure accuracy and consistency by applying annotation standards and performing quality checks on own work and peer submissions.
- Identify ambiguous or low‑quality data samples and flag them for further review or guideline refinement.
- Collaborate with project managers, data scientists, and engineers to clarify labeling criteria and suggest improvements to annotation processes.
- Document edge cases, provide feedback on guideline clarity, and contribute to the continuous evolution of the classification taxonomy.
- Meet or exceed productivity targets while maintaining high precision rates.
- Participate in regular virtual training sessions, calibration meetings, and performance reviews.
Required Qualifications
- Bachelor’s degree in Computer Science, Linguistics, Data Science, or a related field, or equivalent practical experience.
- Minimum of 2 years of experience in data annotation, classification, or quality‑control roles for machine‑learning projects.
- Strong analytical skills with the ability to interpret complex instructions and apply them consistently.
- Excellent written communication skills and keen attention to detail.
- Proven ability to work independently in a remote setting, managing time and meeting deadlines.
- Familiarity with annotation tools (e.g., Labelbox, Scale AI, Prodigy) and basic understanding of AI/ML concepts.
Desired Skills
- Experience with natural language processing (NLP) or computer vision datasets.
- Knowledge of taxonomy development, ontology mapping, or data governance best practices.
- Ability to program simple scripts (Python, Bash) to automate repetitive tasks.
- Multilingual proficiency for labeling multilingual content.
- Prior work with crowdsourced platforms or large‑scale labeling teams.
Compensation & Benefits
- Competitive annual salary ranging from $70,000 to $110,000, based on experience, expertise, and geographic location.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching contributions.
- Generous paid time off, parental leave, and flexible holiday schedule.
- Remote work stipend covering home office setup, internet, and coworking space access.
- Professional development budget for courses, certifications, and conferences.
- Employee assistance programs, wellness resources, and inclusive community initiatives.
How to Apply
Interested candidates should visit Google’s Careers portal, locate the “Remote Data Classifier” posting, and submit an online application that includes a current résumé, a concise cover letter highlighting relevant experience, and any supporting work samples or annotation portfolio. After submission, qualified applicants will be contacted for a virtual interview process. Google is an equal‑opportunity employer and welcomes applicants from all backgrounds.
Google is a global technology leader dedicated to organizing the world’s information and making it universally accessible and useful. With a culture of innovation and a commitment to responsible AI, Google continuously improves its products and services through high‑quality data. The company supports a fully remote workforce, offering flexibility, collaborative tools, and a supportive environment for professionals worldwide.
Key Responsibilities
Key Responsiblities For "Remote Data Classifier" Main job duties
- Review, label, and classify large volumes of text, image, audio, and video data according to detailed guidelines.
- Ensure accuracy and consistency by applying annotation standards and performing quality checks on own work and peer submissions.
- Identify ambiguous or low‑quality data samples and flag them for further review or guideline refinement.
- Collaborate with project managers, data scientists, and engineers to clarify labeling criteria and suggest improvements to annotation processes.
- Document edge cases, provide feedback on guideline clarity, and contribute to the continuous evolution of the classification taxonomy.
- Meet or exceed productivity targets while maintaining high precision rates.
- Participate in regular virtual training sessions, calibration meetings, and performance reviews.
Required Qualifications
- Bachelor’s degree in Computer Science, Linguistics, Data Science, or a related field, or equivalent practical experience.
- Minimum of 2 years of experience in data annotation, classification, or quality‑control roles for machine‑learning projects.
- Strong analytical skills with the ability to interpret complex instructions and apply them consistently.
- Excellent written communication skills and keen attention to detail.
- Proven ability to work independently in a remote setting, managing time and meeting deadlines.
- Familiarity with annotation tools (e.g., Labelbox, Scale AI, Prodigy) and basic understanding of AI/ML concepts.
Desired Skills
- Experience with natural language processing (NLP) or computer vision datasets.
- Knowledge of taxonomy development, ontology mapping, or data governance best practices.
- Ability to program simple scripts (Python, Bash) to automate repetitive tasks.
- Multilingual proficiency for labeling multilingual content.
- Prior work with crowdsourced platforms or large‑scale labeling teams.
Compensation & Benefits
- Competitive annual salary ranging from $70,000 to $110,000, based on experience, expertise, and geographic location.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching contributions.
- Generous paid time off, parental leave, and flexible holiday schedule.
- Remote work stipend covering home office setup, internet, and coworking space access.
- Professional development budget for courses, certifications, and conferences.
- Employee assistance programs, wellness resources, and inclusive community initiatives.
How to Apply
Interested candidates should visit Google’s Careers portal, locate the “Remote Data Classifier” posting, and submit an online application that includes a current résumé, a concise cover letter highlighting relevant experience, and any supporting work samples or annotation portfolio. After submission, qualified applicants will be contacted for a virtual interview process. Google is an equal‑opportunity employer and welcomes applicants from all backgrounds.
Required Skills
- Data
- Classifier