Quality Manager - Data Annotation

ABOUT THE COMPANY

Are you a skilled professional seeking remote opportunities on a part-time, full-time, or consulting basis? Look no further than Fuzu Remote! We specialize in connecting talented individuals with dynamic remote work opportunities—all from the convenience of your home office. Showcase your expertise, collaborate on projects across diverse industries, and enjoy the flexibility of choosing a schedule that works for you.



At Fuzu, we value professionalism, high level of ethics and accountability at work. That's why we’re looking for individuals who come prepared with a laptop, a reliable internet connection, and the necessary qualifications. Whether you are a programmer, data annotation specialist, marketer, lead generator, customer service expert, or another professional ready to make an impact, we want to hear from you!



Join our network of remote professionals today to access a wide range of projects, from short-term gigs to long-term engagements. Take charge of your career, embrace exciting opportunities, and unlock your full potential with Fuzu Remote. Apply now and start your next remote adventure!



Fuzu's parent company is located in Finland, operated by a team that has worked 20+ years in the international markets.

JOB SUMMARY

About FuzuFuzu is leading the transformation of how we live and work through artificial intelligence. We collaborate with top professionals and leading companies to push the boundaries of AI innovation and build the future. Joining Fuzu means being part of a company that values growth, quality, and opportunity.Job SummaryWe are seeking experienced Data Annotation Quality Managers to join our team. In this role, you will work directly with our clients and platform partners to ensure the accuracy and consistency of our annotated datasets, which are essential for training high-performing machine learning models. You will play a crucial role in overseeing annotation quality, training annotators, and refining annotation processes.For this role, you have to have prior experience as a data annotator.

RESPONSIBILITIES

Review and assess the quality of annotations produced by annotators, ensuring high standards.Provide constructive feedback and guidance to annotators to improve the quality of outputs.Train new annotators on task definitions, annotation guidelines, and best practices.Collaborate with project managers and data scientists to refine annotation guidelines.Ensure adherence to established annotation standards and continuously improve processes.Why Join Us?Career Growth: We prioritize your career growth and development. As a quality manager, you will have opportunities to advance into senior leadership roles within the data annotation or AI quality assurance space.AI Industry Leadership: Gain direct exposure to cutting-edge AI projects and work with leading professionals who are transforming the industry.Collaborative Environment: We value teamwork and believe that quality is a collective effort. You will be part of a supportive community that fosters growth, feedback, and iteration.What We’re Looking ForExperience: Extensive experience in data annotation, especially in computer vision tasks.Attention to Detail: Exceptional ability to identify and correct annotation errors.Technical Skills: Proficiency with annotation tools and SaaS platforms.Training Skills: Strong ability to train and mentor annotators effectively.Communication: Strong communication skills to provide clear feedback and collaborate across teams.Reliable and Adaptable: Ability to meet deadlines, manage quality control processes, and adapt as guidelines evolve.Your Career Path at FuzuAt Fuzu, your growth is a priority. Data Annotation Quality Managers have a clear pathway to advance into higher-level management, quality assurance, or specialised AI project roles. We provide opportunities for ongoing training, leadership development, and internal mobility to help you shape your career according to your strengths and interests.

REQUIRED SKILLS

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

REQUIRED EDUCATION

Bachelor's degree