Technical AI Specialist, Geospatial & Remote Sensing

Innodata Inc.; Philippines; On-site; PHP 5,653,000 - 8,166,000; Full time

Job summary

Innodata Inc. is seeking a Technical AI Specialist in Geospatial & Remote Sensing to drive hands-on delivery and model evaluation across satellite imagery and LiDAR data.

You will shape workflows, ensure geospatial accuracy, and collaborate with engineers, scientists, and operations teams on challenging data-intensive projects. The role emphasizes practical problem solving, rigorous data-driven decision making, and scalable AI solutions in a fast-paced environment.

Qualifications

• 8+ years of relevant professional experience.
• At least 2 years in AI/ML, data science, or data engineering.
• Degree in Geodetic Engineering, Geography, Geology, Environmental Science, Marine Science, or related field, or CS/Engineering with geospatial experience.

Responsibilities

• Lead technical delivery and serve as a technical point of contact for clients.
• Design quality frameworks and calibrate teams against them.
• Build, test, and evaluate models, data pipelines, and technical solutions.
• Translate geospatial requirements into clear annotation and operational workflows.
• Review guidelines to reflect imagery and spatial data.
• Analyze quality and delivery data to identify trends and improvements.
• Collaborate with engineers, scientists, and operations teams.

Skills

Python

Geospatial analysis

AI/ML

GIS

Remote sensing

Spatial data processing

Education

Geodetic Engineering or Geography or Geology or Environmental Science or Marine Science

Computer Science or Engineering with geospatial experience

Tools

QGIS

ArcGIS

Google Earth Engine

Job description

Technical AI Specialist, Geospatial & Remote Sensing

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

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
• 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.