Annotator Team Lead

Are you passionate about leading teams and ensuring highquality data annotation in an AIdriven environment We are seeking an Annotator Team Lead to coordinate and optimize annotation workflows working crossfunctionally with multiple teams. This role will oversee both internal and external annotators ensuring efficiency accuracy and seamless collaboration with engineering data science and AI research teams.

As the Annotator Team Lead you will play a crucial role in structuring annotation processes maintaining data integrity and aligning efforts with business and technical goals. If you thrive in a fastpaced collaborative setting and excel at project management operational coordination and quality assurance wed love to hear from you!

In this role you will:

• Lead and manage the annotation team ensuring highquality and efficient data labeling for AI model development.
• Coordinate workflows between internal annotators external vendors and crossfunctional teams including AI engineers data scientists and product teams.
• Develop and implement annotation guidelines best practices and quality control measures to maintain data accuracy and consistency.
• Monitor performance metrics optimize processes and provide feedback to improve annotation efficiency and effectiveness.
• Collaborate closely with AI and engineering teams to ensure annotated data meets project needs and model training requirements.
• Manage stakeholder expectations align priorities and ensure timely delivery of annotated datasets.
• Oversee training of new annotators and support ongoing skill development within the team.
• Identify and resolve operational challenges ensuring smooth of annotation projects at scale.

Qualifications :

• Proven experience in team leadership project management or data operations ideally in an AI data labeling or MLdriven environment.
• Strong organizational and coordination skills with the ability to manage multiple annotation workflows simultaneously.
• Experience working crossfunctionally with AI engineers data scientists and external annotation vendors.
• Excellent communication and stakeholder management skills to align teams and drive efficient .
• Knowledge of annotation tools data labeling platforms and quality assurance processes is a plus.
• Analytical mindset with a strong attention to detail to ensure highquality and consistent annotations.
• Ability to problemsolve and optimize annotation processes for scalability and efficiency.
• Experience with AI/ML datasets data quality management or a background in data operations content moderation or similar fields is preferred.

This is an exciting opportunity to play a pivotal role in ensuring the quality and efficiency of training data for AI models. If you enjoy leading teams refining workflows and driving impactful data operations wed love to hear from you!

Additional Information :

• Exceptional Salary Package
• Home Office opportunity
• An exceptional compensation package (All You Can Move sport pass a yearly 500.000 Huf /year cafeteria package) 
• Private health insurance for when you dont feel so great 
• The opportunity to see your work directly contribute to the success of the company 
• We want you to grow with us so we offer the opportunity to attend conferences technical workshops trainings and meetups along with certification possibilities 
• Company branded merchandise (goodies) 

Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills abilities and experience. We thrive to attract and hire a strong talented and diverse workforce prohibiting discrimination based on race color religious or political beliefs age nationality physical mental or developmental disability gender sexual orientation. 

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or allinclusive listing of duties and responsibilities. Contents are subject to change at managements discretion. 

NOTE: Byborg Enterprises SA does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited and such submissions will not be recognized for purposes of ownership of the candidate. 

We are in it for the long haul so your future is safe with us. 

Remote Work :

No

Employment Type :

Fulltime