Ai Developer
Responsibilities:Ensuring the accuracy and quality of data used in machine learning, and AI projects. Data Quality Assurance: Conducting thorough reviews of AI chatbot responses to identify and rectify errors, inconsistencies, and ambiguities, ensuring high-quality datasets for model training. Generating original prompts to assess the capabilities of the AI chatbots and to ensure that they respond appropriately.Annotation Guidelines Development: Collaborating with project stakeholders to establish clear annotation guidelines and standards tailored to specific project requirements, ensuring uniformity and consistency in data labelling.Cross-functional Collaboration: Working closely with data scientists, machine learning engineers, and project managers to understand project objectives, refine annotation tasks, and address any data-related challenges or requirements.Annotation Guidelines Creation: Partnering with project stakeholders to set up precise guidelines and standards for annotation, customized to meet specific project needs, ensuring consistent and uniform data labeling.Interdisciplinary Teamwork: Cooperating with data scientists, machine learning engineers, and project managers to grasp project goals, improve annotation tasks, and resolve any issues or requirements related to data.