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Annotator Team Lead

Company Description

Welcome to Byborg! As a leader in IT and streaming solutions, we specialize in delivering high-quality services that offer premium online experiences.  

Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation. Today, working with the latest technology, our platforms serve millions of users daily. 

We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (The Million Roses, Kinkly.com). 

Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential. Help us shape the future!

Job Description

Are you passionate about leading teams and ensuring high-quality data annotation in an AI-driven environment? We are seeking an Annotator Team Lead to coordinate and optimize annotation workflows, working cross-functionally 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 fast-paced, collaborative setting and excel at project management, operational coordination, and quality assurance, we’d love to hear from you!

In this role, you will:

  • Lead and manage the annotation team, ensuring high-quality and efficient data labeling for AI model development.
  • Coordinate workflows between internal annotators, external vendors, and cross-functional 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 execution of annotation projects at scale.

Qualifications

  • Proven experience in team leadership, project management, or data operations, ideally in an AI, data labeling, or ML-driven environment.
  • Strong organizational and coordination skills, with the ability to manage multiple annotation workflows simultaneously.
  • Experience working cross-functionally with AI engineers, data scientists, and external annotation vendors.
  • Excellent communication and stakeholder management skills to align teams and drive efficient execution.
  • Knowledge of annotation tools, data labeling platforms, and quality assurance processes is a plus.
  • Analytical mindset with a strong attention to detail to ensure high-quality and consistent annotations.
  • Ability to problem-solve 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, we’d 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 don’t 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 all-inclusive listing of duties and responsibilities. Contents are subject to change at management's 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. 

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Average salary estimate

$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Annotator Team Lead, Docler Holding

At Byborg, we’re on the hunt for a talented Annotator Team Lead to join our lively team in Budapest! If you’re passionate about guiding teams and ensuring high-quality data annotation for groundbreaking AI projects, this is your shot. In this pivotal role, you'll be at the forefront of our data-driven initiatives, ensuring that our internal and external annotators deliver top-notch data quality for AI model development. You’ll be working hand in hand with our engineering, data science, and AI research departments, coordinating workflows and optimizing processes to keep everything running smoothly. Picture yourself developing annotation guidelines, implementing quality control measures, and training new team members, all while navigating a fast-paced and collaborative atmosphere. Your leadership will not only empower your team but also position you as a key player in meeting our ambitious project goals. If you thrive on variety, love to solve operational challenges, and are excited about advancing AI technologies, we can’t wait to hear from you! Our inclusive workplace offers not just a job, but a community that values your growth and contribution. Enjoy exceptional benefits like a competitive salary, private health insurance, and a chance to attend industry conferences. Join us at Byborg, where your work can really make an impact!

Frequently Asked Questions (FAQs) for Annotator Team Lead Role at Docler Holding
What are the responsibilities of an Annotator Team Lead at Byborg?

As the Annotator Team Lead at Byborg, you will manage the annotation team to ensure high-quality and efficient data labeling crucial for AI model development. Your key responsibilities will include coordinating workflows between different teams, developing annotation guidelines, monitoring performance metrics, and overseeing training for new annotators. Engaging cross-functionally with AI engineers and data scientists will also be a vital part of your role.

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What qualifications are needed for the Annotator Team Lead position at Byborg?

To be successful as an Annotator Team Lead at Byborg, candidates should have proven experience in team leadership or project management within an AI or data labeling environment. Strong organizational skills, familiarity with annotation tools, and excellent communication abilities are essential, along with an analytical mindset for ensuring data accuracy. Experience with AI/ML datasets is preferred.

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How does the Annotator Team Lead collaborate with other teams at Byborg?

The Annotator Team Lead at Byborg plays a crucial role in fostering collaboration with engineering, data science, and product teams. You will coordinate workflows among internal annotators and external vendors, ensuring that the annotated data aligns with project needs and model training requirements, making communication and stakeholder management key components of this role.

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What opportunities for growth exist for the Annotator Team Lead at Byborg?

At Byborg, we believe in the potential for personal and professional growth. As an Annotator Team Lead, you’ll have access to exceptional benefits, including training workshops, technical conferences, and opportunities for certifications. We are committed to your development and look forward to helping you advance in your career while contributing to our innovative projects.

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What makes Byborg a great place to work for an Annotator Team Lead?

Byborg offers a dynamic and inclusive workplace where diverse talents come together to drive innovation. As an Annotator Team Lead, you will be part of a supportive community that values your contributions and encourages collaboration. With excellent salary packages, private health insurance, and a thriving team atmosphere, this role allows you to make a significant impact while growing your skills.

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Common Interview Questions for Annotator Team Lead
Can you explain your approach to managing a diverse annotation team?

When managing a diverse annotation team, it's essential to foster an inclusive environment. I would actively encourage open communication, respect individual strengths, and ensure that each team member feels valued. By implementing clear processes and regularly sharing feedback, I can enhance team cohesion and collective performance.

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How would you prioritize tasks among conflicting deadlines?

In situations with conflicting deadlines, I prioritize tasks based on project impact and urgency. I utilize tools for visibility, like Gantt charts or project management software, to evaluate workflows. Regularly communicating with stakeholders helps align priorities and manage expectations effectively.

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What techniques do you use to ensure data accuracy?

To ensure data accuracy, I implement robust quality control measures, including regular audits and benchmark analyses. I also develop comprehensive annotation guidelines for annotators that are regularly reviewed and updated based on feedback and performance metrics.

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Describe your experience with annotation tools.

I have hands-on experience with various annotation tools such as Labelbox and Amazon SageMaker Ground Truth. I am proficient in their functionalities, enabling me to effectively train new annotators and oversee annotation workflows tailored to project needs.

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How do you handle feedback from stakeholders?

Handling feedback from stakeholders requires active listening and responsiveness. I seek to understand their perspectives fully and incorporate constructive feedback into processes where necessary, keeping the focus on alignment with project goals and continuous improvement.

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What strategies do you employ to motivate your annotation team?

To motivate my annotation team, I emphasize recognition of their efforts and achievements. I create an environment filled with open communication, opportunities for professional development, and inclusive decision-making to make team members feel valued and invested in our collective goals.

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Can you provide an example of a challenging project you managed?

Certainly! I once managed a large-scale annotation project with tight deadlines and a geographically dispersed team. By establishing a structured communication plan, implementing performance metrics early on, and ensuring gradual feedback loops, we met our deadlines while maintaining data quality.

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How do you keep abreast of developments in AI and data annotation?

To stay updated on AI developments, I regularly read industry publications, participate in webinars, and attend conferences. Networking with other professionals also provides valuable insights and trends that I can leverage in my work.

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What role does quality assurance play in your annotation strategy?

Quality assurance is critical in my annotation strategy; it ensures the data being prepared meets the highest standards. By implementing regular reviews and feedback mechanisms, we maintain high consistency and quality, which is pivotal for successful AI model training.

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How do you approach training new annotators?

Training new annotators begins with a structured onboarding program that covers our annotation guidelines and best practices. I focus on hands-on training, providing opportunities to work with experienced annotators and fostering a mentoring culture to facilitate skill development.

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“The driving force behind all our actions is creativity and innovation; regardless of what we are creating - be that a website, a movie, a luxury shopping mall or any other investment - this is what has helped us the most to leave behind the label...

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DATE POSTED
March 21, 2025

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