Data Annotator

A Data Annotator labels and tags data to help machine learning models understand and process information accurately. In this role, they guide and oversee the data preparation process, ensuring that data is categorized correctly and meets quality standards. 

This role is crucial for developing high-performing AI systems and involves strategic thinking and attention to detail.

Data Annotators review large data sets, such as images, text, or videos, and apply labels or tags that identify key features or information. They lead the efforts to organize and prepare data for training machine learning models, ensuring the data is clean, accurate, and relevant. 

Their work directly impacts the effectiveness of AI algorithms, driving better results and insights.

Ready to lead data excellence? We have an opportunity for you!

Be our Data Annotator, where you’ll play a pivotal role in preparing data that powers our advanced AI solutions with precision and expertise!

In this leadership position, you'll meticulously label and tag diverse datasets, ensuring that our machine-learning models are trained on high-quality, accurate information.

As the linchpin of our data preparation process, you’ll manage the organization and annotation of data, utilizing your keen eye for detail and strategic thinking to enhance model performance and drive meaningful insights.

Collaborating closely with data scientists and engineers, you’ll develop annotation guidelines, oversee quality control, and ensure that data integrity is maintained throughout the training process, enabling us to deliver cutting-edge AI solutions.

• Annotate and label data with precision and attention to detail
• Collaborate with the data science and engineering teams to ensure high-quality annotated data sets
• Perform quality checks on annotated data to ensure accuracy
• Ensure adherence to project deadlines and quality standards
• Maintain and update data annotation guidelines as needed
• Provide feedback on tools and processes for continuous improvement
• Stay updated on industry best practices for data annotation
• Troubleshoot and resolve any data annotation issues promptly
• Assist in training new team members on data annotation tasks
• Communicate effectively with team members and project stakeholders
• Participate in regular team meetings to discuss project progress and challenges
• Work on multiple data annotation projects simultaneously
• Support data preprocessing activities as required
• Follow data security protocols and maintain confidentiality of sensitive information
• Contribute to a positive and collaborative team environment

• Achieved X% accuracy rate in data annotation tasks
• Met project deadlines consistently without compromising quality
• Increased data annotation efficiency by X% through process optimizations
• Ensured compliance with data security regulations at all times
• Improved annotation guidelines to enhance overall data quality
• Received positive feedback from internal stakeholders on annotated data quality

• Bachelor's degree in Computer Science, Data Science, or related field
• Excellent attention to detail and accuracy in data annotation processes
• Proven experience in data annotation or data labeling tasks
• Strong understanding of data annotation tools and methodologies
• Proficiency in working with structured and unstructured data sets
• Strong communication and collaboration skills
• Ability to work effectively in a fast-paced and dynamic environment
• Solid organizational and time management skills
• Adherence to data privacy and security protocols
• Familiarity with machine learning concepts and algorithms is a plus