About the Role
Technical AI Specialist, Geospatial & Remote Sensing
Innodata AI/LLM Practice · Philippines · Full-time
We build and deliver AI/ML programs for leading organizations across technology, science, and other data-intensive industries.
This role sits within our
Geospatial & Remote Sensing portfolio
, which covers satellite and aerial imagery annotation, LiDAR and point cloud data, land cover and feature extraction, coastal and marine imagery, spatial and sensor time-series datasets, and AI model evaluation where geospatial accuracy matters.
We are hiring technical specialists across
delivery, quality, and research
. Rather than fit every candidate into a predefined track, we want to understand where your technical expertise can have the greatest impact.
What You’ll Own
You will take ownership of technical work from execution through delivery. Depending on your strengths, this may include:
Leading technical delivery and serving as a technical point of contact for clients
Designing quality frameworks and calibrating technically trained teams against them
Building, testing, and evaluating models, data pipelines, and technical solutions
Translating geospatial requirements into clear annotation and operational workflows
Reviewing guidelines and workflows to ensure they accurately reflect imagery and spatial data
Analyzing quality and delivery data to identify trends, root causes, and improvement opportunities
Working closely with engineers, scientists, operations teams, and other technical stakeholders
Evaluating AI outputs for geospatial accuracy, not simply whether an answer appears plausible
This is a
hands-on technical role
. You should be comfortable working directly with imagery, spatial data, quality results, and technical tools. You should be able to challenge a guideline when it does not reflect what the data actually shows and distinguish a confident prediction from a scientifically or geographically correct one.
What You Bring
8+ years
of relevant professional experience, with at least
2 years in AI/ML, data science, or data engineering
A degree in
Geodetic Engineering, Geography, Geology, Environmental Science, Marine Science, or a related field
, or a degree in Computer Science, Engineering, or a related discipline with substantial professional geospatial experience
PRC licensure in Geodetic Engineering
is an advantage
A graduate degree is an advantage
Working knowledge of
remote sensing, GIS, raster and vector data, LiDAR or point clouds, coordinate systems, projections, imagery formats, and geospatial reference datasets
Hands-on experience with
Python
for spatial data processing
Experience with tools such as
QGIS, ArcGIS, or Google Earth Engine
Working knowledge of
AI/ML model training and fine-tuning, model evaluation, LLM delivery, and MLOps
Strong analytical judgment and the ability to translate technical findings into practical recommendations
Relevant Experience
Experience in one or more of the following is valuable:
Satellite and aerial imagery
Remote sensing and GIS
LiDAR and 3D point clouds
Land cover and feature extraction
Geospatial AI and computer vision
Coastal and marine mapping
Environmental monitoring
Spatial and sensor time-series data
Geospatial annotation and model evaluation
Certification Requirements
Certification requirements vary by track:
Delivery:
PMP, PgMP, PRINCE2, or Lean Six Sigma Green Belt or higher
Quality:
Lean Six Sigma Green Belt or higher
Research:
No project certification required; technical and research record will be considered
Hiring Process:
Shortlisted candidates complete an English proficiency assessment and an SHL assessment.
Equal Opportunity:
Innodata is an equal opportunity employer. We welcome candidates from diverse backgrounds and provide reasonable accommodation throughout the hiring process.