Technical AI Specialist, Geospatial & Remote Sensing

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.