About us: Dawarha is at the forefront of the recycling movement, pioneering an innovative social recycling platform that combines AI-based Reverse Vending technology with a user-friendly mobile app. We proudly introduced this groundbreaking concept to the Egyptian market and the broader MENA region. As a subsidiary of the visionary Mind-Blowing company, we have been leading the charge in Egypt's recycling and waste collection sector since 2018. We established the first ai-reverse vending machine, marking a significant milestone in waste management. Our commitment extends to providing a fully integrated solution for enterprises of all sizes, from small businesses to mega-corporations and even governmental organizations. Our closed-loop waste collection solution is fully customizable, reflecting our commitment to sustainability and environmental responsibility.
About the job:
Dawarha is looking for a highly skilled and experienced Senior Data Annotator to join our dynamic team. The Senior Data Annotator will play a critical role in ensuring the accuracy and quality of annotated data for our machine learning and artificial intelligence projects. This role requires a deep understanding of data annotation methodologies, excellent attention to detail, and the ability to work independently and collaboratively to meet project deadlines.
Responsibilities:
Perform data annotation tasks according to project requirements and guidelines, including image labeling, text annotation, or other types of annotations.
Review and evaluate annotated data for accuracy, completeness, and adherence to project guidelines, ensuring high-quality results.
Collaborate with product managers, data scientists, and subject matter experts to understand project requirements and objectives.
Provide feedback and guidance to junior annotators to help improve their annotation skills and ensure project consistency.
Identify and escalate issues or challenges related to data quality, annotation guidelines, or project requirements to the project manager or team lead.
Participate in the development and optimization of annotation processes, workflows, and tools to improve efficiency and scalability.
Stay updated on industry trends, emerging technologies, and advancements in data annotation methodologies, incorporating best practices into our processes.
Contribute to developing and implementing data governance policies, procedures, and standards to ensure data integrity and compliance.
Qualifications:
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
3 years of experience in data annotation, data labeling, or related fields, with a proven track record of delivering high-quality annotated data for machine learning and AI projects.
Strong understanding of data annotation methodologies, tools, and best practices.
Excellent attention to detail and strong analytical skills, with the ability to review and evaluate annotated data for accuracy and completeness.
Proficiency in using annotation tools and platforms such as Labelbox, Scale AI, or similar tools.
Ability to work independently and collaboratively in a fast-paced environment, with a focus on meeting project deadlines and delivering high-quality results.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
Familiarity with machine learning concepts and algorithms is desirable but not required.
Benefits:
Competitive salary and performance-based bonuses.
Comprehensive health benefits package, including medical, dental, and vision coverage.
Social insurance coverage
Flexible work hours.
Dedicated budget for development and growth.
A collaborative and supportive work environment with opportunities for growth and advancement.