Project Lead

You will be joining Hitech, a prominent provider of Engineering, BIM, and Business Process Solutions with a global presence and a dedicated team. Specifically, you will be part of the Data Annotation & AI Enablement division, supporting AI model training and human feedback loops for various AI applications. Currently, we are seeking a proficient Project Lead Annotation to oversee and ensure the success of our data labeling initiatives. In this role, you will take charge of managing large, diverse teams, including both internal members and external vendors, to generate high-quality annotated datasets for AI and machine learning ventures. Your responsibilities will encompass supervising project execution from start to finish, establishing annotation workflows, setting up QA pipelines, and maintaining consistent data accuracy and throughput. To excel in this position, you will need a combination of leadership skills, a structured approach to processes, and hands-on familiarity with annotation platforms and data labeling tools. The ideal candidate should possess strong communication abilities, structured thinking, and a keen enthusiasm for facilitating AI development through meticulous human-in-the-loop data management. Your key duties will include leading and organizing annotation teams, delegating tasks and milestones, monitoring progress, motivating team members, crafting and upholding annotation guidelines, implementing QA strategies to boost data quality, optimizing workflows for enhanced efficiency, collaborating with various teams, suggesting process enhancements, evaluating team performance, and efficiently managing distributed workflows through collaboration tools. For this role, we are looking for individuals with a bachelor's or master's degree in computer science, Information Technology, Data Engineering, or a related field, along with 3-6 years of experience in leading data or annotation projects. Proficiency in annotation tools like Label box, CVAT, or other custom platforms, sound knowledge of data formats such as JSON, XML, YOLO, CSV, and COCO, familiarity with QA workflows and annotation guidelines, and an understanding of AI and machine learning concepts are essential. Additionally, exceptional communication skills, problem-solving abilities, organizational prowess, and multitasking capabilities will be advantageous in this role.,