Associate- Data Annotation at digital divide data

Nairobi, Nairobi County, Kenya -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Annotation, Quality Assurance, Tool Proficiency, Documentation, Collaboration, Feedback Integration, Continuous Learning, Time Management, LiDAR Data Annotation, 3D Data Labeling, AV Datasets, Geospatial Concepts, Remote Sensing, 3D Mapping, Communication Skills, Teamwork Skills

Industry

Professional Services

Description

Company Description About Digital Divide Data (DDD) Digital Divide Data (DDD) is a BPO that delivers ML data solutions and content services to Fortune 500 companies and the world’s leading academic institutions. DDD is unique in its ability to deliver end-to-end data creation, curation, labeling, and annotation services, regardless of scale, with a guaranteed level of quality. Job Description Role Summary We are seeking disciplined, detail-oriented professionals to work with 3D LiDAR data for machine learning and autonomous vehicle development. You will contribute to training high-precision perception models by producing consistent, accurate annotations. Key Duties and Responsibilities Data Annotation: Accurately label and annotate datasets (images, video, text, LiDAR, etc.) in line with project guidelines and client requirements. Quality Assurance: Consistently check and validate work to ensure data accuracy. Demonstrate readiness to transition into a QA role as project needs evolve. Tool Proficiency: Efficiently use various data annotation platforms and software tools to complete assigned tasks. Documentation: Maintain clear and detailed annotation records, highlighting ambiguities and challenges encountered. Collaboration: Work closely with team members, supervisors, and cross-functional units to ensure shared understanding and consistency in project execution. Feedback Integration: Actively engage in training, implement feedback, and continuously refine annotation quality and speed. Continuous Learning: Stay informed on evolving AI/ML annotation tools, methods, and best practices to enhance performance. Time Management: Plan and prioritize tasks effectively to meet productivity goals and project deadlines. Qualifications Minimum Requirements: Minimum 2 years of hands-on experience with LiDAR data annotation, 3D data labeling, or AV datasets. Proficiency with AV annotation tools Strong understanding of geospatial concepts, remote sensing, and 3D mapping. Close attention to detail and accuracy. Ability to follow structured guidelines and adapt quickly to client updates. Strong communication and teamwork skills. Diploma or Degree in Computer Science, Data Science, Information Technology, or related technical field. Certification in Data Annotation, 3D Mapping, Remote Sensing, or Machine Learning is an added advantage. Training or coursework in 3D visualization, spatial analysis, or autonomous systems Additional Information 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, or disability status. If interested kindly submit your application on or before 31.01.2026

Responsibilities

The role involves accurately labeling and annotating datasets for machine learning and autonomous vehicle development. You will also be responsible for quality assurance and maintaining detailed annotation records.