Work Location: Cork, Ireland
Work Schedule: Monday–Friday during regular business hours
Engagement Model: Full-time work - Project-based contract
Languages Needed: Dutch and English
Start Date: Immediate
We are looking for Dutch 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.
Requirements
Idiomatic fluency in Dutch.
Great cultural awareness of the targeted locale (Netherlands).
Excellent writing and spelling skills in Dutch and English languages.
Language education background or relevant experience in data analysis, labeling, and/or annotation is considered a plus.
Role Responsibilities
Data Annotation and Labelling: 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 to ensure they meet quality standards, identifying any inaccuracies, inconsistencies, or errors in the assistant's responses.
Issue Identification and Reporting: Identify, document, and report issues or bugs related to the tools we use and AI's performance, providing detailed descriptions and examples to guide the development team.
Feedback Provision: Offer constructive feedback on AI interactions and user interface clearly and concisely.
Collaboration: Work closely with management and engineers to provide insights and suggestions that inform model updates and improvements.
Documentation: Maintain clear and organized records of annotation work, issues reported, and feedback provided to ensure traceability and continuous improvement.
Continuous Learning and Adaptation: Stay updated with the latest advancements in AI, natural language processing, and speech recognition technologies to continuously 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 Requirement
Technical Proficiency: Computer literate 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 ;
