Language Data Annotator/Content Generator

hace 2 días

Madrid Centro, Madrid, España Transperfect A tiempo completo
About the Role

We are seeking a highly skilled Language Data Annotator to join our team at TransPerfect. As a Language Data Annotator, you will play a crucial role in creating diverse and challenging prompts for an AI assistant, ensuring they reflect real-world scenarios and cover a wide range of topics and styles.

Key Responsibilities
  1. Prompt Development: Develop natural language prompts that mimic human interactions, covering different styles (e.g., argumentative, narrative) and topics (e.g., science, history, technology).
  2. Prompt Refining: Check and refine prompts to ensure they meet quality standards for natural language and user engagement.
  3. Prompt Set Creation: Ensure the prompt set includes a mix of difficulty levels to assess the AI's adaptability and problem-solving skills.
Requirements
  1. Language Proficiency: Idiomatic fluency in English (UK).
  2. Eligibility: Eligible to work in Spain.
  3. Age: Must be of legal age (18+).
  4. Reading and Comprehension Skills: Great reading and comprehension skills.
  5. Time Management: Ability to meet daily KPIs.
  6. Independence: Ability to work independently.
  7. Flexibility: Flexibility to respond and react to changing priorities, quickly and efficiently.
  8. Issue Tracking: Ability to track, analyze, and report issues.
  9. Availability: Full-time availability (40 hours/week) for the duration of the project.
  10. Feedback Implementation: Ability to understand and implement feedback.
  11. Attention to Detail: Detail-oriented and comfortable with repetitive tasks.
About TransPerfect

TransPerfect is part of the TransPerfect family of companies, the world's largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world.

Our department focuses on gathering, enriching, and processing data for Machine Learning in different AI domains.

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