Lead, coach, and develop the Data Annotation team through regular 1:1s, clear expectations, and timely feedback

Build an environment where team members feel comfortable asking questions, raising concerns, and sharing ideas

Own hiring, onboarding, performance management, and professional development for the team

Work with ML, Legal Engineering, and Product teams to translate project goals into clear annotation requirements

Define project ownership, timelines, quality standards, responsibilities, and escalation paths

Help the team resolve ambiguous cases, remove blockers, and make timely decisions

Create and maintain annotation guidelines, quality rubrics, training materials, and review processes

Track quality, capacity, and delivery using practical metrics that support the team

Run calibration sessions, retrospectives, and quality reviews, ensuring feedback leads to clear follow-up actions

Communicate project progress, risks, and staffing needs to stakeholders

Proven experience managing, coaching, and developing a team

Strong professional English and fluency in Czech or Slovak

Strong communication skills and the ability to handle feedback, disagreement, and difficult conversations constructively

Experience setting clear expectations and addressing performance concerns directly and fairly

Strong organizational and project-management skills

Ability to create useful structure without introducing unnecessary complexity

Good judgment and confidence making decisions in ambiguous situations

Experience working with quality, productivity, or operational metrics

Ability to collaborate effectively with both technical and non-technical teams

Strong attention to detail and commitment to accuracy and consistency

Interest in artificial intelligence, machine learning, and human-in-the-loop workflows