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Freelance Data Entry Associate (German)

TA

Location
Greece
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 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 German: intermediate (B1) / upper-intermediate (B2) / advanced (C1) / proficiency (C2)
  • Has great command of English: upper-intermediate (B2) / advanced (C1) / proficiency (C2) .
  • 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 Expert Annotator, your role is crucial in advancing AI capabilities through accurate data labeling. To stand out as an applicant, here are some tips:

  • Highlight your proficiency in German and English, as language skills are a key requirement for the role.
  • Showcase your attention to detail and ability to make precise annotations, emphasizing the importance of quality in data labeling.
  • Demonstrate your critical thinking skills and ability to make justified decisions on ambiguous content, showcasing your problem-solving abilities.
  • Emphasize your dedication to even routine tasks, as consistency is key in maintaining data labeling standards.
  • Illustrate your collaboration skills by sharing examples of working effectively with team members to resolve ambiguities and enhance project outcomes.
  • Express your enthusiasm for being part of a significant project for a leading technology company and making a tangible impact on the future of AI.

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