Data Annotation QA Supervisors (2D | 3D | 4D)
Talent Africa
LinkedInGeneralQA/Reviewboth
LocationHarare, Zimbabwe
CountryZimbabwe
Work modeOn-site
LevelGeneral
FunctionQA/Review
Fieldboth
Employment typeGeneral
Posted04/09/2026
Job description
Direct message the job poster from Talent Africa
Nhena Nyagura
Nhena Nyagura
Data Center & AI Infrastructure Executive | Founder, Tongai Data Centres | 10GW Energy-to-Data Platform, Southern Africa | Director of the Year, IoDZβ¦
WE'RE HIRING: Data Annotation QA Supervisors (2D | 3D | 4D)
We are standing up a specialist quality-assurance team for a leading global
autonomous-vehicle programme, and we are looking for a Data Annotation Quality
Assurance Supervisors.
This is a short-term, high-impact engagement at the frontier of self-driving AI,
working with multimodal sensor data (camera, LiDAR, and radar) and the annotation
that makes autonomous perception possible.
THE ROLE
- Own annotation quality across 2D, 3D, and 4D tasks, from bounding boxes and
polygons to 3D point-cloud cuboids and temporal sensor-fusion tracking.
- Run a two-stage QA process and hold delivery to a 99%+ accuracy standard against
client specifications.
- Calibrate, coach, and lead a team of annotators, resolving edge cases and cutting
label drift.
- Track and report quality metrics such as IoU and inter-annotator agreement, and
keep audit-ready records.
YOU BRING
- Experience in data annotation or computer-vision QA, ideally including 3D
point-cloud or LiDAR work.
- Hands-on familiarity with annotation platforms such as CVAT or Label Studio.
- Strong spatial reasoning, precision, and an eye for detail at volume.
- Team leadership and clear communication, with the discipline to enforce standards.
- Availability for a short-term, on-site engagement.
WHY JOIN
Work on genuinely cutting-edge AV data, backed by an established, enterprise-grade
delivery organisation, with the chance to prove and grow your expertise on a large,
long-running programme.
Location: Harare, Zimbabwe (on-site)
To apply, send your CV to jobs@talent.africa.
Know someone who fits? Please tag or share.
#Hiring #DataAnnotation #QualityAssurance #AutonomousVehicles #ComputerVision
#LiDAR #SensorFusion #AIJobs #Harare #Zimbabwe #MachineLearning #TechJobs
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