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Data Annotator - Freelance

TA

Location
Malawi
Toloka AI

Job Description

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

  • Accurately label and annotate data following comprehensive project guidelines.
  • Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset.
  • Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
  • Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Requirements

Our ideal candidate:

  • Has great command of English: advanced (C1) / proficiency (C2) / native level.
  • Has a keen eye for detail: precision is paramount in data labeling.
  • Is a dedicated performer who recognizes the importance of even routine tasks.

Benefits

  • Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
  • Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
  • Try your hand at an AI project and enrich your portfolio with new experiences.

Advice from our career coach

As an AI Tutor - Expert Annotator, you play a crucial role in shaping the future of AI through accurate data labeling. To stand out as an applicant for this position, here are some key tips:

  • Highlight your proficiency in English language skills, as precision in labeling data is essential.
  • Showcase your strong attention to detail and meticulous approach to tasks.
  • Emphasize your ability to make informed decisions on ambiguous content and collaborate effectively with team members.
  • Demonstrate your commitment to following data labeling standards and protocols consistently.
  • Express your enthusiasm for contributing to a significant project in the tech industry and the opportunity to enhance your portfolio with AI experiences.

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