We are seeking a highly skilled and motivated Data Operations Team Lead to join our data annotation team. In this leadership role, you will oversee and support a team of data annotation experts, ensuring the accuracy and reliability of annotated data. You will be responsible for guiding hands-on data annotation and tagging efforts, integrating advanced technologies to streamline data operations, and collaborating with various departments to achieve organizational goals. As a team lead, you will also play a crucial role in mentoring team members, optimizing workflows, and driving continuous improvement in data operations.
A day in the life and how you’ll make an impact: Oversee a team of data annotation experts, ensuring precision and consistency in the annotation and tagging of data. Provide guidance and support to team members to maintain high standards of accuracy and quality.
* Perform data annotation and tagging tasks as needed, maintaining high standards of accuracy and quality.
* Utilize cutting-edge technologies and tools to enhance data operations, improving annotation capabilities and overall project efficiency.
* Conduct regular performance reviews of third-party vendors and in-house team members to ensure alignment with project goals and adherence to high-quality standards.
* Oversee multiple concurrent projects, working collaboratively with various departments to meet project milestones and organizational objectives.
* Partner with algorithm developers to bridge the gap between labeling concepts and technical constraints, ensuring effective communication and alignment throughout the project lifecycle.
* Drive continuous improvement in data operations by optimizing workflows, creating automation solutions using Python, and implementing best practices to enhance efficiency and reduce manual effort.
* Create and maintain comprehensive documentation and training materials to address labeling inefficiencies, promote continuous improvement, and ensure clarity in project guidelines.
* At least 2 years in a managerial or leadership role , demonstrating effective team management and mentorship.
* Proven background in data annotation, data labeling , or QA, with a strong grasp of the field.
* Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or certifications are a plus.
* Strong written and verbal skills for clear articulation of project needs and effective cross-department collaboration.
* Methodical with a keen eye for detail, ensuring accuracy and quality in all tasks.
* Creative problem-solver capable of developing innovative solutions for complex issues.
* Ability to balance independent work with team leadership and hands-on contributions.
* Experience in optimizing workflows and creating automation solutions using Python or similar languages.
* Familiarity with machine learning and deep learning concepts is a plus.
* Experience with image data and annotations is advantageous.
