Associate - Data Annotation (3D LiDAR)
AI summary
Digital Divide Data is hiring a full-time Associate - Data Annotation (3D LiDAR) in Nairobi to label and annotate 3D LiDAR datasets for machine learning and autonomous vehicle development. The role requires at least 2 years of hands-on LiDAR or 3D data annotation experience, strong attention to detail, and proficiency with AV annotation tools. A diploma or degree in Computer Science, Data Science, IT, or a related field is required, with relevant certifications considered an added advantage.
- Full-time, onsite role based in Nairobi
- Minimum 2 years of LiDAR or 3D data annotation experience required
- Diploma or degree in Computer Science, Data Science, IT, or related field
- Focus on machine learning and autonomous vehicle perception data
- Certification in Data Annotation, 3D Mapping, Remote Sensing, or ML is an added advantage
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in technology, Data Annotation, Data LabelingThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Associate - Data Annotation (3D LiDAR) evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Digital Divide Data and the role in Not specified.
- Add concrete examples related to technology, Data Annotation, Data Labeling, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- MyJobMag Kenya
- Original source link available
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- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Associate - Data Annotation (3D LiDAR) role in technology, Data Annotation?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
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Associate- Data Annotation (3D LiDAR)
Job Type
Full Time
,
Onsite
Qualification
BA/BSc/HND
,
Diploma
,
First School Leaving Certificate
,
KCSE
Experience
- 2 years
- Location
- Nairobi
- Job Field
- Data, Business Analysis and AI
- ,
- ICT / Computer
- 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
- 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
- Check how your CV aligns with this job
- Method of Application
- Interested and qualified? Go to
- Digital Divide Data on smrtr.io
- to apply
- Build your CV for free.
- Download in different templates.
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