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English Language Data Annotator - Cork, (Ireland)

  • On-site
    • Cork, Munster, Ireland
  • DataForce

Job description

Work Location: Onsite in Cork, Ireland

Work Schedule: Monday – Friday during regular business hours

Engagement Model: Project based open ended contract 

Language Needed: English (UK, US, New Zealand, Australia, Ireland or Canada)

Start Date: January 6th, 2025


We are looking for English Speakers to join us on a new innovative and interesting project to improve Artificial Intelligence and technology that makes our everyday lives better (i.e., speech or text recognition, input methods, keyboard/swipe technology, or other areas of human-machine interaction related to languages).


As a Language Data Annotator, you will play a pivotal role in enhancing the capabilities of AI-driven virtual assistants, specifically focused on improving speech recognition software. In this role, you will analyze and evaluate user requests to a virtual AI assistant, ensuring the accuracy and quality of interactions between the virtual assistant and users. Your primary responsibility will be to create, review, and refine language data to train the AI model, helping it better understand and respond to a wide range of user inputs.

Key tasks include identifying and reporting issues, inconsistencies, or errors in the AI’s performance, and providing detailed feedback to guide its ongoing development. Your expertise in language and keen attention to detail will ensure that the virtual assistant delivers accurate, contextually appropriate, and natural-sounding responses.


Successful candidates will have a strong analytical mindset and a passion for improving AI technology. If you have a knack for language, enjoy problem-solving, and are excited about contributing to cutting-edge AI advancements, we encourage you to apply.

Job requirements

  • Idiomatic fluency in English.

  • Cultural Awareness: Deep understanding of the targeted locales - Ireland, UK, US, New Zealand, Australia or Canada.
  • Writing Proficiency: Excellent writing and spelling skills in English.
  • Preferred Background: Language education or relevant experience in data analysis, labeling, and/or annotation is a plus.

Role Responsibilities

  • Data Annotation and Labeling: Accurately annotate and label large volumes of language data to train and improve AI-driven speech recognition and natural language processing models.
  • Quality Assurance: Review and analyze user requests to a virtual AI assistant, ensuring they meet quality standards. Identify and address inaccuracies, inconsistencies, or errors in the assistant's responses.
  • Issue Identification and Reporting: Identify, document, and report issues or bugs related to tools and AI performance. Provide detailed descriptions and examples to assist the development team.
  • Feedback Provision: Offer constructive feedback on AI interactions and user interfaces in a clear and concise manner.
  • Collaboration: Work closely with management and engineers to provide insights and suggestions for model updates and improvements.
  • Documentation: Maintain clear, organized records of annotation work, reported issues, and feedback to ensure traceability and support continuous improvement.
  • Continuous Learning and Adaptation: Stay updated with advancements in AI, natural language processing, and speech recognition technologies to refine annotation techniques and methodologies.
  • Confidentiality and Data Security: Strictly adhere to confidentiality protocols to protect sensitive information and ensure the privacy and security of all data handled.

Additional Requirements

  • Technical Proficiency: Computer literacy with the ability to efficiently navigate the Mac environment, including proficiency in using macOS features and tools.
  • Apple Ecosystem Knowledge: Strong familiarity with Apple's iOS and native Apple applications, including an understanding of their features and functionalities.

To learn more about DataForce, please visit us at https://www.transperfect.com/dataforce.

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