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Data Annotator - Freelance

TA

Location
Chile
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 will play a crucial role in shaping the future of AI through precise data labeling. To stand out as an applicant for this position, consider the following tips:

  • Demonstrate your advanced proficiency in English, as accuracy in labeling is key.
  • Showcase your meticulous attention to detail and ability to make informed decisions on ambiguous content.
  • Highlight your collaborative spirit and ability to work effectively in a team to enhance project outcomes.
  • Emphasize your commitment to following data labeling standards and protocols for the highest quality results.
  • Express your dedication to the role and the importance you place on even routine tasks in the data annotation process.

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