Manager, Operations (Machine Learning, Autonomous Vehicles & ADAS)
Digital Divide Data
Nairobi, Kenya
Full Time
Published February 17, 2026
Job Description
Lead AI and autonomous vehicle annotation operations in Nairobi, managing client relationships, workflow delivery, performance tracking, team development, and risk mitigation for Digital Divide Data.
Key Responsibilities
- Build trusted relationships with ML, AV, and ADAS clients; act as primary liaison for client requests, updates, and issue resolution; ensure workflows and outputs align with client expectations and technical guidelines.
- Oversee day‑to‑day execution of annotation, QA, audits, and reporting; translate technical guidelines into clear, actionable workflows; monitor team adherence to SLAs/KPIs; lead real‑time issue resolution; maintain version control of instructions and workflow updates.
- Track performance trends using scorecards and dashboards; diagnose quality or productivity gaps and implement root‑cause fixes; partner with QA and Training teams to refine workflows and conduct refreshers; lead performance reporting to clients.
- Mentor and develop teams handling AI, CV, 3D, or LiDAR datasets; foster a culture of feedback, technical excellence, and continuous learning; support team decision‑making on ambiguous or escalated annotation scenarios; advise on capacity planning, calibration cycles, and training needs.
- Identify risks related to workflow complexity, guideline ambiguity, tooling inefficiencies, or data‑quality concerns; develop mitigation strategies; support Business Continuity Plans and drive readiness; escalate advanced risks to senior leaders and product teams.
Requirements
- BA/BSc/HND or MBA/MSc/MA degree.
- Minimum 2.5 years experience in AI/ML operations, project management, or technical workflow coordination (posting also mentions 2 years).
- Hands‑on exposure to annotation workflows: 2D/3D computer vision, LiDAR, ADAS, or AV datasets.
- Prior experience working in a Business Process Outsourcing (BPO) environment.
- Familiarity with annotation tools such as CVAT, SuperAnnotate, and Labelbox.
- Understanding of ML metrics, data‑quality principles, and AV/ADAS ecosystems.
How to Apply
Interested and qualified candidates should apply via Digital Divide Data on smrtr.io.
Ready to Apply?
Contact the company directly to apply for this position.
Job Summary
| Company: | Digital Divide Data |
| Location: | Nairobi, Kenya |
| Type: | Full Time |
| Posted: | 02/17/2026 |