Team Lead - Data Annotation (Ireland)

As a Team Lead - Data Annotation at RWS Group, your main responsibilities will include leading a team of data annotators to ensure they meet quality standards, managing recruitment for top talent, coordinating task assignments, tracking team utilization, providing necessary training, fostering a collaborative environment, and implementing feedback mechanisms for continuous improvement.

Candidates for the Team Lead - Data Annotation position at RWS Group should have at least 3 years of experience leading annotation teams, fluency in English, and strong organizational and leadership skills. Familiarity with Excel or Google Sheets, attention to detail, and experience in a professional work environment are also important for this role.

The work schedule for the Team Lead - Data Annotation role at RWS Group is full-time from 10 AM to 7 PM local time, Monday to Friday. This provides a structured routine that allows you to maintain your work-life balance while delivering excellence in your responsibilities.

As a Team Lead - Data Annotation at RWS Group, you can expect work-from-home flexibility, timely payments directly to your bank account, and provided equipment to facilitate your work. The role offers a fantastic opportunity to maintain a balanced lifestyle as you contribute to meaningful projects.

The ideal candidate for the Team Lead - Data Annotation position at RWS Group should possess 3+ years of experience in leading annotation teams, have strong communication skills, attention to detail, and an understanding of machine learning principles, ideally complemented by experience using the Appen Annotation Platform (ADAP).

When answering this question, share specific examples of how you have led a data annotation team, detailing your approach to guidance, training, and conflict resolution while emphasizing your ability to motivate team members and uphold quality standards.

Discuss your process for analyzing team strengths, the nature of tasks, and how you coordinate with stakeholders to effectively assign the right resources. Sharing examples of successful past assignments can also demonstrate your capability.

Focus on methods such as regular team reviews, implementing standard operating procedures, and utilizing feedback mechanisms to maintain high-quality outcomes. Providing specific examples can also strengthen your response.

Share a specific incident where you successfully navigated team disagreements, emphasizing your conflict resolution strategies, communication skills, and how you ensured alignment with project goals afterward.

Explain the metrics and tools you use for monitoring team productivity and performance, emphasizing your experience with analytics and how you leverage data to drive improvements in outcomes.

Discuss your criteria for selecting data annotators, focusing on skills such as attention to detail, ability to follow instructions, and collaboration skills, as these are essential for successful projects.

Share techniques you employ to promote teamwork, such as team-building activities, open communication channels, and recognition of team achievements as methodologies to create a positive workplace culture.

Describe a project situation where you took feedback from your team or stakeholders, applied it effectively, and how it led to significant improvements in process or quality outcomes.

Emphasize your understanding of machine learning principles and any experience you may have had evaluating machine learning models, which can correlate with the work of data annotation.

Discuss your experience with various data annotation tools, including the Appen Annotation Platform, Excel, Google Sheets, or any relevant software, showcasing your technical proficiency in the annotation process.