Data Annotator

- Accurately annotate and label various types of data, such as text, images, audio, or video, according to established guidelines and standards.Ensure high-quality and consistent annotations to support the training and validation of machine learning models
- Conduct thorough quality checks on annotated data to identify and rectify errors or inconsistencies
- Collaborate with team members to maintain and improve annotation quality standards.Collaboration
- Work closely with data scientists, machine learning engineers, and other team members to understand project requirements and annotation needs
- Provide feedback on annotation guidelines and contribute to the improvement of data labeling processes
- Maintain detailed records of annotated data, including any modifications or updates, to support future reference and analysis
- Document and report any issues or challenges encountered during the annotation process
- Quickly adapt to new tools, technologies, and annotation methodologies as the project demands evolve
- Stay informed about industry best practices and emerging trends in data annotation
- Handle sensitive and confidential data with the utmost care, adhering to security and privacy protocols
- Comply with data protection regulations and company policies
- Effectively communicate with team members and project stakeholders to ensure a clear understanding of project objectives and requirements
- Provide regular updates on progress and escalate any issues or challenges as needed

- Strong attention to detail and the ability to maintain accuracy while working on repetitive tasks
- Basic computer literacy
- Familiarity with data annotation tools and platforms is a plus
- Good communication and interpersonal skills
- Ability to work effectively in a collaborative team environment
- Basic understanding of machine learning concepts is desirable but not mandatory