Lead Data Annotation Manager

ABOUT THE COMPANY

Are you a skilled professional looking for remote opportunities either on part time, full -time or consulting terms? Look no further than Fuzu Remote Talent pool! We're dedicated to connecting talented individuals like you with exciting remote work opportunities, all from the comfort of your home office. With us, you can showcase your expertise and contribute to projects across various industries, all while enjoying the flexibility to work within different schedules.



At Fuzu, we value preparedness and professionalism. That's why we seek individuals who are equipped with a laptop, a reliable internet connection, and relevant academic qualifications. Whether you're a data labeller, marketer, lead generator, customer excellence or any other professional, if you're ready to hit the ground running and make an impact, we want to hear from you!



Join our network of remote professionals today and gain access to a diverse range of projects, from short-term gigs to long-term engagements. Take control of your career, seize exciting opportunities, and unleash your full potential with us. Apply now and embark on your next remote adventure!"

JOB SUMMARY

Location: RemoteAbout FuzuFuzu is a leading organisation at the forefront of transforming the intersection between artificial intelligence and human activities. We collaborate with top-tier professionals and prominent industry players to push the boundaries of AI innovation and lead advancements in this dynamic field. By joining Fuzu, you will become an integral part of a company that prioritises leadership, quality, and professional growth.We are seeking a highly experienced Lead Data Annotation Manager to join our expanding team. This role requires a seasoned expert to lead and manage the development of high-quality annotated datasets, which are instrumental in training state-of-the-art machine learning models. You will work directly with our clients and platform partners to oversee production processes, train annotation personnel, and ensure rigorous adherence to guidelines and quality standards. This position requires comprehensive expertise in data annotation methodologies, leadership capabilities, and a deep understanding of machine learning workflows.A must have to be considered:A working personal laptop (Please note this will be verified while shortlisting)An internet connection of 15 MBPS and aboveApplications will be reviewed on a rolling basis therefore the sooner you apply the better.

RESPONSIBILITIES

Design, develop, and deliver comprehensive training programs for data annotators and quality managers, ensuring adherence to best practices and cutting-edge standards.Spearhead the creation, refinement, and enforcement of annotation guidelines, ensuring they align with the latest developments in computer vision and machine learning requirements.Oversee quality assurance processes to ensure annotated data meet the highest standards of consistency, accuracy, and reliability.Provide strategic leadership and operational direction to the annotation workforce, fostering a culture of excellence to meet both quality and production metrics.Serve as the principal liaison with stakeholders, including data scientists and project managers, ensuring alignment of objectives and the effective integration of annotation outputs into broader AI projects.Manage iterative feedback loops to refine annotation quality, incorporating evolving project requirements and feedback to enhance team performance and output quality.Why Join Us?Career Growth: We offer a defined career path tailored for leadership progression within the domains of data annotation, AI quality management, and strategic oversight, with ample opportunities to lead new initiatives and innovate in the field.AI Industry Leadership: Engage directly in cutting-edge AI projects alongside leading professionals and researchers, gaining in-depth experience that will position you as a leader in the AI domain.Collaborative Environment: We cultivate a culture rooted in collaboration and continuous improvement, ensuring you are part of a supportive team that values constructive feedback and collective achievements.What We’re Looking ForExperience: Extensive and demonstrable experience in data annotation and quality management, particularly in computer vision applications.Leadership Skills: A proven track record of effectively leading, mentoring, and managing teams of annotators and quality control personnel.Technical Skills: Profound understanding of computer vision concepts and annotation methodologies, including the application of 2D and 3D data annotation techniques.Communication: Exceptional verbal and written communication skills, enabling effective interaction with multidisciplinary teams and diverse stakeholders.Organisational Skills: Strong project management capabilities with a high degree of organisational acumen to manage multiple projects, timelines, and deliverables.Adaptability: Demonstrated ability to navigate evolving project requirements and efficiently integrate iterative feedback into the annotation process.Your Career Path at FuzuAt Fuzu, your career development is a top priority. As a Lead Data Annotation Manager, you will have opportunities to advance into senior leadership roles, strategic positions in quality assurance, or specialised AI project leadership capacities. We provide continuous professional development, leadership training, and comprehensive support to help you forge a rewarding career trajectory aligned with your skills and aspirations.

REQUIRED SKILLS

Reporting, Project management, Quality management, Communication, Team leadership, Artificial intelligence (AI), Machine Learning (ML), Training delivery

REQUIRED EDUCATION

Bachelor's degree