Data Annotation Specialist

About DataAnnotation

DataAnnotation is a leading organization in the field of data management and artificial intelligence solutions. Committed to innovation and excellence, DataAnnotation specializes in providing high-quality data annotation services that empower machine learning models and facilitate advanced AI applications across various industries. Our team is dedicated to maintaining the highest standards of accuracy, efficiency, and customer satisfaction, making us a trusted partner for organizations seeking reliable data solutions. With a focus on continuous improvement and technological advancement, DataAnnotation strives to shape the future of data-driven decision-making and automation.

About The Data Annotation Specialist Role

We are seeking a detail-oriented and highly motivated Data Annotation Specialist to join our dynamic team. In this role, you will be responsible for accurately labeling and annotating large datasets to support the development of machine learning models. The ideal candidate will have a keen eye for detail, excellent organizational skills, and a strong understanding of data quality standards. This position offers an exciting opportunity to work at the forefront of artificial intelligence technology, contributing directly to innovative projects that impact various sectors such as healthcare, automotive, retail, and more. The successful candidate will collaborate closely with data scientists and engineers to ensure data integrity and annotation precision, ultimately enabling the creation of smarter and more effective AI systems.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience in data annotation, labeling, or related roles, preferably within AI or machine learning projects.
• Strong attention to detail and the ability to maintain high accuracy under tight deadlines.
• Familiarity with data annotation tools and platforms such as Labelbox, CVAT, or similar software.
• Excellent organizational and time management skills.
• Good communication skills and the ability to work collaboratively within a team environment.
• Basic understanding of AI and machine learning concepts is a plus.

Responsibilities

• Accurately annotate and label diverse datasets including images, videos, text, and audio according to project specifications.
• Review and verify the quality of annotations to ensure they meet established standards.
• Collaborate with data scientists and engineers to understand project requirements and improve annotation processes.
• Maintain detailed documentation of annotation procedures and progress.
• Ensure adherence to project deadlines and quality benchmarks.
• Continuously update skills and stay informed about new annotation tools and best practices.
• Assist in the development of guidelines and standards for data annotation processes.

Benefits

• Competitive salary package aligned with industry standards.
• Comprehensive health insurance coverage including medical, dental, and vision plans.
• Opportunities for professional growth and career advancement within a rapidly expanding organization.
• Flexible working hours and remote work options to support work-life balance.
• Access to ongoing training and development programs to enhance technical and soft skills.
• A collaborative and inclusive work environment that values diversity and innovation.
• Generous paid time off and holiday leave policies.

Equal Opportunity

DataAnnotation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diverse perspectives foster innovation and drive our success, and we are dedicated to providing a workplace where everyone can thrive.

Key skills/competency

• Data Annotation
• Machine Learning
• AI Applications
• Data Quality
• Labeling Tools
• Project Management
• Team Collaboration
• Attention to Detail
• Dataset Management
• Technical Documentation