Work Location: On-site in Barcelona, Spain
Work Schedule: Monday – Friday during regular business hours
Engagement Model: Temporary contract with the possibility of renewal
Languages Needed: Hebrew and English
Start Date: Immediate
DataForce by TransPerfect is currently looking for Hebrew Language Speakers to join our on-site team in Barcelona, Spain, on a project-based employment engagement. This is an exciting opportunity to be part of an innovative and interesting project to improve Artificial Intelligence and technology!
Role Summary
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.
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 in a clear and concise manner.
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.
