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Google Artificial Intelligence Data Annotation Jobs

TSMG

AI/ML Data Contributor

Jackson, MS · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Wichita, KS

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Boise, ID · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

New Orleans, LA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Birmingham, AL

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Columbia, SC · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Louisville, KY

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Columbia, SC · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Des Moines, IA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

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All JobsGoogle Artificial Intelligence Data Annotation Jobs

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.
Adjunct Instructor, Artificial Intelligence in Business (Undergraduate Level)

Adjunct Instructor, Artificial Intelligence in Business (Undergraduate Level)

High Point University

High Point, NC

Part-time

Posted 13 days ago

High Point University rating

7.6

Company rating: 7.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

242nd of 539 rated colleges and universities

Job description

The Phillips School of Business at High Point University invites applications for an Adjunct Professor to teach the course Artificial Intelligence in Business. This course will introduce students to the fundamentals of artificial intelligence (AI) and its applications across business functions. Students will explore how AI technologies are transforming industries, enabling data-driven decision-making, improving customer experiences, and creating competitive advantage. Through case studies, hands-on exercises, and projects, students will gain familiarity with leading AI-powered business tools and develop a strategic understanding of how AI integrates into modern organizations.

Responsibilities

  • Teach undergraduate students in the Artificial Intelligence in Business course, providing high-quality instruction and engaging learning experiences.
  • Develop course materials, assignments, and assessments aligned with learning outcomes and program goals.
  • Integrate current trends and practical applications of AI in business decision-making, including tools such as machine learning, predictive analytics, generative AI, and automation systems.
  • Foster student engagement through case studies, simulations, and project-based learning.
  • Maintain active communication with students and provide timely feedback on assignments.
  • Participate in departmental meetings and comply with university policies and procedures.

Qualifications

Required:

  • Master's degree or higher in Artificial Intelligence, Data Science, Computer Science, Business Analytics, or a closely related field.
  • Demonstrated professional experience applying AI or machine learning in a business or organizational setting (e.g., marketing, finance, operations, management, or entrepreneurship).
  • Strong communication and instructional skills with a commitment to student success.

Preferred:

  • Doctorate in a relevant related field.
  • Prior college-level teaching experience, preferably in business or technology courses.
  • Familiarity with AI tools and platforms commonly used in business (e.g., ChatGPT, Google Vertex AI, Microsoft Copilot, Salesforce Einstein, etc.).
  • Ability to connect theory to practice and incorporate current industry examples into instruction.

Interested applicants should contact Dr. Dave Tofanelli, dtofanel@highpoint.edu

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