Job Summary

AiDash is looking for an experienced Manager - AI Data Ops to lead a team responsible for sourcing, processing, and annotating satellite and remote sensing imagery that powers our AI/ML models. This role blends hands-on GIS expertise with strong people management and vendor coordination skills, and is central to ensuring high-quality, timely, and scalable geospatial data pipelines.

The ideal candidate has deep experience working with satellite and aerial imagery, understands the nuances of remote sensing data sourcing, and has successfully managed both in-house annotation teams and external vendor partners.
Responsibilities
GIS Remote Sensing Operations
- Lead end-to-end sourcing of satellite imagery, aerial data, and remote sensing datasets from various providers (e.g., optical, SAR, multispectral, hyperspectral sources).
People Management
- Manage, mentor, and grow a team of GIS analysts/annotators (team size: specify, e.g., 15-40+), including performance reviews, capacity planning, and skill development.
- Build a solid bench of GIS talent through structured hiring,



onboarding, and training programs.
- Drive productivity, quality, and throughput targets across the team through KPIs and process discipline.
- Foster a collaborative, high-accountability team culture.
Vendor Stakeholder Management
- Identify, evaluate, and onboard third-party vendors/BPOs for image annotation and data labeling at scale.
- Negotiate SLAs, pricing, and turnaround commitments with vendor partners; monitor ongoing performance against these agreements.
- Act as the primary point of contact for vendor escalations, quality issues, and capacity scaling needs.
- Coordinate cross-functionally with Data Science, Engineering, Product, and Delivery teams to align annotation output with project timelines and model requirements.
Process Reporting
- Build dashboards/reports to track annotation throughput, accuracy metrics, vendor performance, and cost efficiency.
- Identify opportunit

📌 Manager, AI Data Ops (Bengaluru)
🏢 Aidash Systems
📍 Bengaluru