We are seeking a meticulous and detail-oriented individual to join our team as a Data Annotator. As a Data Annotator, you will be responsible for labeling and annotating large volumes of data to support machine learning model training and development. Your role will be crucial in ensuring the accuracy and quality of the data used to train our AI systems.
Key Responsibilities:
Annotate and label various types of data according to specified guidelines and criteria.
Review and verify annotations for accuracy and consistency.
Collaborate with data scientists and engineers to understand annotation requirements and objectives.
Maintain high levels of productivity and accuracy while meeting project deadlines.
Identify and report any issues or discrepancies in the data annotation process.
Continuously improve annotation processes and workflows to enhance efficiency and quality.
Keep detailed records of annotated data and documentation of annotation guidelines.
Communicate effectively with team members to ensure alignment on annotation tasks and project goals.
Qualifications:
Bachelor s degree in a relevant field such as Computer Science, Data Science, or a related discipline.
Strong attention to detail and the ability to maintain accuracy while working with large datasets.
Excellent organizational and time management skills to prioritize tasks effectively.
Proficiency in using annotation tools and software is preferred.
Basic understanding of machine learning concepts and terminology.
Ability to work both independently and collaboratively in a team environment.
Good communication skills with the ability to articulate ideas and provide clear explanations.
Experience in data annotation or similar roles is a plus but not required.
Why Join Us:
Opportunity to work with cutting-edge technologies and contribute to the advancement of AI.
Collaborative and supportive work environment where your contributions are valued.
Continuous learning and professional development opportunities.