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Junior Data Annotation Specialist - Freelance

TA

Location
Nigeria
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. Annotation Experts are not just regular performers; they are meticulous specialists ensuring the highest quality of data markup. As AI continues its upward trajectory, these experts lay the groundwork, paving the way for more reliable, responsible AI models.

Responsibilities:

  • Quality assurance: review and verify the work done by regular performers; suggest improvements for better annotation quality
  • Instructional guidance: formulate clear, effective task instructions for Tolokers
  • Training creation: develop training tasks that guide Tolokers towards excellence

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 Annotation Expert, you will play a crucial role in driving AI's capabilities by ensuring accurate data labeling. To stand out as a candidate for this role, you should showcase your meticulous attention to detail, proficiency in English, and dedication to quality work. Here are some specific tips to help you highlight your qualifications:

  • Highlight specific examples of your attention to detail in previous roles or projects.
  • Demonstrate your proficiency in English by showcasing any relevant certifications or experiences.
  • Showcase your commitment to quality work by emphasizing the importance of precision in data labeling.
  • Emphasize your ability to provide clear and effective instructions and training to team members.
  • Highlight any experience you have with quality assurance or improving processes within a team.

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