Micro-Task Annotator – Suit Students & Teens

🏢 Amazon📍 Aberdeen, Scotland, United Kingdom💼 Part-Time💻 Hybrid🏭 Information Technology💰 10-15 per hour

About the Company

Amazon is a global leader in e-commerce, cloud computing, digital streaming, and artificial intelligence. We are dedicated to pioneering new technologies and services, constantly innovating to meet the evolving needs of our customers worldwide. Join our dynamic team and contribute to projects that shape the future of technology.

Job Description

We are seeking enthusiastic and detail-oriented Micro-Task Annotators to join our team in Aberdeen. This part-time role is ideal for students and teenagers looking to gain valuable experience, earn an income, and contribute to cutting-edge AI and machine learning projects. You will be responsible for completing various micro-tasks, primarily involving data labeling, categorization, and validation, to help improve our systems and algorithms. No prior experience is required; comprehensive training will be provided.

Key Responsibilities

  • Accurately categorize and label data (e.g., images, text, audio) according to specific guidelines.
  • Perform data validation and quality checks on annotated datasets.
  • Provide clear and concise feedback on annotation guidelines and tools.
  • Identify and escalate discrepancies or complex annotation cases.
  • Maintain high levels of accuracy and efficiency in task completion.
  • Collaborate with team members and supervisors to ensure project success.

Required Skills

  • Strong attention to detail and accuracy.
  • Excellent written and verbal communication skills in English.
  • Basic computer proficiency and ability to learn new software quickly.
  • Reliable internet access for hybrid work model.
  • Ability to follow complex instructions and adapt to changing guidelines.

Preferred Qualifications

  • Previous experience with data entry or annotation (not required, but a plus).
  • Familiarity with online collaborative tools.
  • A proactive attitude and willingness to ask questions.

Perks & Benefits

  • Flexible part-time hours to accommodate academic schedules.
  • Opportunity to contribute to real-world AI and machine learning projects.
  • Comprehensive training and professional development.
  • Access to Amazon employee discount programs.
  • Hybrid work model for a balance of on-site collaboration and remote flexibility.

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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