Remote Junior AI Data Labeler

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About the Company

Google’s mission is to organize the world’s information and make it universally accessible and useful. As a leader in technology and innovation, Google is committed to pushing the boundaries of what’s possible in AI, cloud computing, and more. Join a diverse team dedicated to impactful work that serves billions of users globally. At Google, we believe in fostering an inclusive environment where everyone can thrive and contribute to groundbreaking projects.

Job Description

We are seeking a highly motivated and detail-oriented Remote Junior AI Data Labeler to join our AI development team. In this critical role, you will be responsible for accurately labeling various types of data (e.g., images, text, audio) to train and improve our artificial intelligence models. This is an entry-level, remote position ideal for individuals passionate about AI and machine learning, with a keen eye for detail and a desire to contribute to cutting-edge technology. You will work closely with AI researchers and engineers, playing a vital part in enhancing the intelligence and performance of Google’s AI products.

Key Responsibilities

  • Accurately label and annotate data (images, text, audio, video) according to detailed guidelines and specifications.
  • Perform quality assurance checks on labeled data to ensure consistency and accuracy.
  • Provide constructive feedback on labeling tools and guidelines to improve efficiency and clarity.
  • Collaborate with team members and AI researchers to understand project requirements and address challenges.
  • Meet daily and weekly labeling targets while maintaining high-quality standards.
  • Adapt to evolving project requirements and data types.
  • Maintain data confidentiality and adhere to strict privacy protocols.

Required Skills

  • Excellent attention to detail and strong focus on accuracy.
  • Proficiency in understanding and following complex instructions.
  • Basic computer literacy and comfort with digital tools and platforms.
  • Strong time management and organizational skills.
  • Ability to work independently in a remote environment.
  • Effective communication skills in English.

Preferred Qualifications

  • Prior experience with data entry, annotation, or quality assurance.
  • Familiarity with artificial intelligence, machine learning, or data science concepts.
  • Experience with various data labeling tools or platforms.
  • Fluency in additional languages relevant to data types.

Perks & Benefits

  • Flexible part-time working hours.
  • Opportunity to contribute to groundbreaking AI technology at Google.
  • Exposure to cutting-edge machine learning projects.
  • Professional development and learning opportunities in AI/ML.
  • Supportive and collaborative remote team environment.
  • Access to Google's internal learning resources.
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