About Digital Divide Data (DDD)

Digital Divide Data (DDD) is a US-based non-profit, mission-driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies talented but underserved youth in Africa and Asia (Kenya, Cambodia, and Laos are the main centers) to enter formal employment, undergo professional training and skills development, and pursue tertiary education. Our headquarters are in New York, and we have over 1,500 employees across our operations in Kenya, Cambodia, and Laos.

● Data Annotation: Accurately label and annotate data according to specific project guidelines and client requirements. 

● Quality Assurance: Ensure the quality and accuracy of annotated data by following established procedures and performing regular quality checks. He/She Should also be able to groom oneself into a QA role if and when the situation so demands

● Tool Proficiency: Use various data annotation tools and software effectively to complete assigned tasks. 

● Documentation: Maintain detailed records of annotation work, including notes on any ambiguities or challenges encountered. 

● Collaboration: Work closely with team members and supervisors to ensure consistent understanding and application of annotation guidelines. 

● Feedback Integration: Actively participate in training sessions and incorporate feedback to improve annotation quality and efficiency. 

● Continuous Learning: Stay updated with new tools, techniques, and best practices in data annotation to enhance skills and performance. 

● Time Management: Manage time effectively to meet project deadlines and productivity targets. 

• Education: Diploma or equivalent; additional education in a related field is a plus. 
• Experience: Minimum 2 year experience in data annotation (AgTech, Autonomous, image and Video annotation), data entry, or a similar role is preferred. Experience working on Gen AI projects will be an added advantage. 
• Technical Skills: Basic understanding of AI and machine learning concepts; proficiency in using computers and annotation software. 
• Attention to Detail: Strong attention to detail and accuracy, with the ability to follow complex guidelines and instructions. 
• Communication Skills: Good verbal and written communication skills, with the ability to work effectively in a team. 
• Problem-Solving Skills: Ability to identify and resolve issues related to data annotation tasks. 
•  Adaptability: Flexibility to adapt to changing project requirements and work in a fast-paced environment. 
• Organizational Skills: Good organizational skills and the ability to manage multiple tasks simultaneously.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If interested kindly submit your application on or before 30th August 2024