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Annotator

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 detail-oriented and passionate about working with data to support cutting-edge AI technologies? We are looking for Annotators to help train machine learning models by accurately labeling and categorizing data. This role is crucial in ensuring the quality of AI-driven solutions by providing precise and consistent annotations across various data types, including text, images, videos, and audio.

As an Annotator, you will work closely with data scientists, engineers, and quality assurance teams to refine annotation guidelines, maintain data integrity, and contribute to the development of high-performing AI models. If you have a keen eye for detail, enjoy structured tasks, and are eager to be part of a dynamic team, we’d love to hear from you!

In this role, you will:

  • Label and categorize various types of data (e.g., text, images, audio, video) according to predefined guidelines.
  • Ensure consistency and accuracy in annotations, following strict quality control measures.
  • Identify and correct errors in labeled datasets to maintain high-quality data integrity.
  • Work closely with AI and data science teams to refine annotation guidelines and improve labeling efficiency.
  • Provide feedback on annotation tools and processes to enhance productivity and accuracy.
  • Meet deadlines and productivity targets while maintaining annotation quality.

Qualifications

  • Strong attention to detail and ability to follow annotation guidelines precisely.
  • Ability to work efficiently and consistently on repetitive tasks without compromising quality.
  • Experience with data labeling tools (e.g., Labelbox, CVAT, or similar) is a plus but not required.
  • Basic understanding of AI, machine learning, or data processing is a plus.
  • Strong communication skills to collaborate with team members and provide feedback on annotation processes.
  • Ability to work independently while maintaining alignment with team goals.
  • Prior experience in data entry, content moderation, or quality assurance is an advantage.

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

$6000 / YEARLY (est.)
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$5000K
$7000K

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What You Should Know About Annotator, Docler Holding

Welcome to Byborg, where we're revolutionizing the IT and streaming landscape! We proudly invite detail-oriented individuals to apply for our Annotator position in Budapest. In this exciting role, you will contribute to training cutting-edge machine learning models by accurately labeling various types of data, including text, images, videos, and audio. This is essential to ensuring the quality of our AI-driven solutions, which serve millions of users around the globe. As a valuable member of our team, you will collaborate with data scientists, engineers, and quality assurance specialists to enhance our annotation guidelines and maintain data integrity. Your keen eye for detail, ability to follow structured tasks, and commitment to quality will be essential as you work to correct any errors in labeled datasets and provide insights on our annotation tools and processes. By joining Byborg, you'll not only become part of a dynamic and supportive workplace; you'll also have access to exciting opportunities for professional growth through conferences and workshops. With exceptional perks like private health insurance and a generous cafeteria package, we ensure that our team members are well taken care of. If you're excited about working with data to support innovative AI technologies, the Annotator role at Byborg is the perfect fit for you!

Frequently Asked Questions (FAQs) for Annotator Role at Docler Holding
What does an Annotator do at Byborg?

As an Annotator at Byborg, you play a vital role in training our machine learning models by meticulously labeling and categorizing various types of data, including text, images, audio, and video. Your work ensures the accuracy and quality of AI-driven solutions that impact millions of users.

Join Rise to see the full answer
What qualifications are necessary for the Annotator position at Byborg?

To thrive as an Annotator at Byborg, you should possess strong attention to detail and the capacity to follow annotation guidelines precisely. While experience with data labeling tools is a plus, it’s not mandatory. Basic knowledge of AI and machine learning can also be advantageous, along with strong communication skills for teamwork.

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How will I collaborate with others as an Annotator at Byborg?

In the Annotator position at Byborg, you'll work closely with data scientists, engineers, and quality assurance teams. You'll focus on refining annotation guidelines, maintaining data integrity, and offering feedback on tools and processes to enhance productivity and accuracy in our AI projects.

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What opportunities for development does Byborg provide for Annotators?

Byborg places a strong emphasis on professional growth. Annotators can attend conferences, workshops, and training sessions, and even pursue certification opportunities. We're committed to helping our team members excel and grow within our dynamic organization.

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What benefits are included in the Annotator role at Byborg?

The Annotator position at Byborg comes with an exceptional compensation package that includes private health insurance, an all-you-can-move sport pass, a generous cafeteria budget, and opportunities for professional development. We prioritize the well-being and growth of our team.

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Common Interview Questions for Annotator
Can you describe your experience with data labeling?

When discussing your experience with data labeling, focus on specific projects where you categorized various data types. Mention tools you have used and the methodologies you followed. Highlight how your attention to detail ensured high-quality outcomes.

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How do you ensure accuracy and consistency in your annotations?

To ensure accuracy and consistency in annotations, I follow strict guidelines and regularly cross-check my work. I also believe in seeking feedback from peers and collaborating with teams to make necessary adjustments that enhance data integrity.

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What challenges have you faced in data annotation, and how did you overcome them?

Discuss specific challenges such as managing large datasets or maintaining focus during repetitive tasks. Explain the strategies you employed to overcome these challenges, like breaking tasks into manageable sections or developing checklists.

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Why do you want to work as an Annotator at Byborg?

I’m excited about the opportunity at Byborg because it combines my passion for data and AI technologies. I admire Byborg's innovative spirit and dedication to quality, and I want to contribute my skills to a team that’s making an impact on millions globally.

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How do you stay organized when managing multiple annotation tasks?

I stay organized by prioritizing tasks based on deadlines and complexity. I often use project management tools or spreadsheets to track my progress and deadlines, allowing me to allocate time efficiently to each annotation project.

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Describe a time when you had to adjust your work based on feedback.

Share an example where feedback led you to improve your work. Explain how you accepted the feedback gracefully, made the necessary adjustments, and how this led to better results in your annotations or team collaboration.

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What tools are you familiar with for data labeling?

Mention specific data labeling tools you have experience with, such as Labelbox or CVAT. Highlight how you've used these tools in previous roles and how they helped streamline your annotation process.

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What role do you believe Annotators play in AI development?

Annotators are essential in AI development as they ensure the quality and relevance of training data. By providing accurate and consistent annotations, Annotators help machine learning models learn effectively, leading to better performance in real-world applications.

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How do you handle repetitive tasks while maintaining quality?

I handle repetitive tasks by implementing a routine that includes short breaks to stay focused. I also use techniques like the Pomodoro Technique, which helps maintain high quality through frequent, focused bursts of work followed by breaks.

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What is your understanding of the importance of data integrity?

Data integrity is critical as it underpins the accuracy and reliability of AI models. In my role as an Annotator, I recognize that maintaining high-quality labeled datasets ensures that models can learn effectively and produce trustworthy outcomes in real-world situations.

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Full-time, remote
DATE POSTED
March 14, 2025

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