Jobs at Digital Divide Data (DDD Kenya)

Job Description

• Team Management: Lead, mentor, and supervise a team of associates, providing guidance and support to ensure optimal performance. 
• Project Coordination: Coordinate with project managers and clients to understand project requirements, timelines, and deliverables. 
• Quality Assurance: Implement and monitor quality control processes to ensure the accuracy and consistency of annotated data. This will involve performing quality checks on outgoing data. 
• Training and Development: Develop and deliver training programs to enhance the skills and knowledge of the associates. 
• Performance Monitoring: Track and evaluate the performance of team members, providing feedback and implementing improvement plans when necessary.
• Resource Allocation: Efficiently allocate resources to ensure project deadlines are met and manage workload distribution among team members. 
• Issue Resolution: Address and resolve any issues or conflicts that arise within the team, ensuring a positive and productive work environment. 
• Reporting: Prepare and present regular reports on project status, team performance, and quality metrics to the project manager/s. 
• Continuous Improvement: Identify opportunities for process improvements and implement best practices to enhance operational efficiency. 

Qualifications

• Education: Bachelor's degree in a relevant field such as Computer Science, Information Technology, Data Science, or a related discipline. 
• Experience: Minimum of 3-5 years of experience in data annotation, data labeling, or a related field, with at least 1-2 years in a supervisory or team lead role. 
• Technical Skills: Proficiency in data annotation tools or platforms, with a strong understanding of AI and machine learning concepts. 
• Leadership Skills: Proven ability to lead and motivate a team, with excellent interpersonal and communication skills. 
• Analytical Skills: Strong analytical and problem-solving abilities, with an eye for detail and a commitment to quality. 
• Organizational Skills: Exceptional organizational and time-management skills, with the ability to manage multiple projects simultaneously. 
• Adaptability: Ability to adapt to changing project requirements and work in a fast-paced environment. 
• Flexibility: Availability to work in day and night shifts as and when required

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Job Description

• 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. 

Qualifications

• 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.