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Google Artificial Intelligence Data Annotation Jobs

Q Analysts

Data Annotation Technician

Kirkland, WA

... for artificial intelligence (AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence throughout the US and internationally. The company has been recognized ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

... for artificial intelligence (AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence throughout the US and internationally. The company has been recognized ...

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Google Artificial Intelligence Data Annotation information

What are the key skills and qualifications needed to thrive as a Google Artificial Intelligence Data Annotation Specialist, and why are they important?

To thrive as a Google Artificial Intelligence Data Annotation Specialist, you need strong attention to detail, data literacy, and the ability to follow complex guidelines, often supported by a bachelor's degree or relevant work experience. Familiarity with data labeling tools, basic coding skills (such as Python), and experience using annotation platforms like Labelbox or internal Google tools are typically required. Standout candidates possess strong analytical thinking, adaptability, and effective communication to ensure clarity and accuracy in large datasets. These skills are crucial for producing high-quality annotated data, which directly impacts the effectiveness and accuracy of AI and machine learning models.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good communication skills, and basic computer literacy. Familiarity with annotation tools and understanding of data labeling guidelines are also important; some roles may require prior experience or training in specific domains like images, videos, or text. Many positions are entry-level and offer flexible schedules, making them accessible to a wide range of applicants.

What is the difference between Google Artificial Intelligence Data Annotation vs Data Labeler?

AspectGoogle Artificial Intelligence Data AnnotationData Labeler
CredentialsTypically no formal degree, but familiarity with AI tools helpfulOften no formal credentials required
Work EnvironmentRemote or on-site, working with AI datasetsPrimarily remote or on-site data labeling tasks
Industry UsageUsed in AI and machine learning projects for training modelsUsed across industries for data preparation
Job FocusAnnotating data for AI algorithms, ensuring accuracyLabeling data such as images, text, or audio

Google Artificial Intelligence Data Annotation involves preparing datasets specifically for AI model training, often requiring understanding of AI workflows. Data Labelers focus on tagging data accurately across various formats. While both roles involve data handling, AI Data Annotation emphasizes AI-specific tasks, whereas Data Labelers perform broader data tagging tasks.

What is Google Artificial Intelligence Data Annotation?

Google Artificial Intelligence Data Annotation refers to the process of labeling or tagging data—such as images, videos, audio, or text—so that it can be used to train machine learning models. Data annotators review content and apply relevant tags or categories, helping AI systems better understand and process real-world data. This work is crucial for improving the accuracy and reliability of AI products, such as search engines, voice assistants, and image recognition tools. Annotation can be manual or assisted by software, depending on the complexity and type of data involved.

Which 3 jobs will survive AI?

For a Google Artificial Intelligence Data Annotation role, jobs that require complex human judgment, creativity, and emotional intelligence are more likely to survive AI automation. These include roles such as AI ethicists, creative professionals, and specialized technical experts. Skills in critical thinking, problem-solving, and domain-specific knowledge will remain valuable in the evolving AI landscape.

Are data annotations still hiring?

Data annotation roles for artificial intelligence, including positions like Google AI Data Annotation, are currently in demand as companies continue to develop machine learning models. These jobs often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of AI concepts, with opportunities available in both full-time and freelance capacities.

What are some common challenges faced by Artificial Intelligence Data Annotators at Google, and how can they be addressed?

Artificial Intelligence Data Annotators at Google often face challenges such as maintaining accuracy and consistency when labeling large volumes of complex data, adapting to evolving project guidelines, and meeting tight deadlines. To address these challenges, annotators benefit from thorough onboarding, ongoing training sessions, and access to clear documentation. Collaborating closely with team leads and machine learning engineers helps resolve ambiguities and ensures alignment with project objectives, creating an environment where questions can be addressed promptly and quality standards are upheld.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are freelance or part-time, requiring attention to detail and familiarity with annotation tools. Salaries can vary based on the employer and project scope.
Infographic showing various Google Artificial Intelligence Data Annotation job openings in the United States as of June 2026, with employment types broken down into 8% Full Time, 67% Part Time, and 25% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Data Annotation Technician

Data Annotation Technician

Q Analysts

Kirkland, WA

Other

Posted 11 days ago

Job description

Data Annotation Technician

Join Q Analysts and become part of a world-class organization. Q Analysts has a sixteen-years track record of providing managed services and we've partnered with some of the world's best companies to deliver services that exceed expectations. Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML).

Q Analysts is headquartered in San Jose, CA with a presence throughout the US and internationally. The company has been recognized repeatedly for its industry-leading growth rate and service quality. At Q Analysts, we listen to your needs and help you select what's right for you - this includes the right career opportunities, a choice of comprehensive benefits packages as well as technical training. When you become a Q Analysts employee, you'll see the difference in the superior levels of support and service we deliver to you, our partners, through our Consultant Experience Program. Learn about us here and come join us.

Job Description

Q Analysts is a high growth technology consulting company with a focus on providing Quality Assurance & Testing and Ground Truth Data Services to top technology corporations in the US. We deliver value added services to our clients that include managed services and managed projects.

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection initiatives and contribute to the development of VR and AR products. The focus of ground truth data collection is to capture various types of data relating to humans, speech and environments to enable quality Artificial Intelligence and Machine Learning algorithms. The Data Annotation Technician will be responsible for analyzing and summarizing data while utilizing specialized tooling for processing. The ideal candidate will have an appreciation for technology, be able to work autonomously and efficiently and have strong attention to detail. This is a short term project with potential for long term.

Responsibilities:

  • Generate answer summaries to a given question from pre-determined content
  • Analyze content and use best judgement for proper answers
  • Meet daily, weekly and monthly velocity expectations
  • Generate daily reports on completed tasks
  • Assist with peer to peer training
Qualifications

Skills and Requirements:

  • Ability to work on repetitive tasks effectively
  • Strong written grammar skills
  • Professional verbal and written communication
  • Able to make judgement calls based on a set of criteria
  • Able to manage time effectively with minimum oversight
  • Organized and detail oriented
  • Adaptable, reliable and ethical
  • Technology skills including tooling and PC
  • Transcription or tagging skills a major plus

Experience:

  • Experience in a related role
  • Experience in a role requiring usage of a variety of technology tools
  • Experience with Microsoft Office 365 and all its components (SharePoint, Forms, Power Automate, Outlook, Word, Excel)

Verification of COVID 19 vaccination, background check, and ability to work in the United States without requiring sponsorship required for all new hires.

Additional Information

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability Q Analysts is an EOE. All your information will be kept confidential according to EEO guidelines.

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