Perform quality assurance on over-ocean optical, SAR, and hyperspectral imagery to ensure high-quality data for AI/ML models. Identify and correct data errors, follow image processing and validation procedures, document findings, and communicate issues to AI/ML teams.
Job Summary:
this is a position for people with 0-2 years of work experience
We are looking for a QA Technician with experience in geospatial analysis to support our team for a 3-month full-time contract, with the possibility of extension. This role involves analyzing over-ocean optical, SAR, and possibly hyperspectral imagery to ensure high-quality data for our AI/ML models. The job requires strong attention to detail and involves repetitive tasks to maintain accuracy. Your work will directly impact our model performance and product quality.
Responsibilities
- Review and analyze remote sensing imagery for quality assurance.
- Identify and correct errors or inconsistencies in imagery data.
- Work with AI/ML teams to ensure data quality meets model requirements.
- Follow standard procedures for image processing and validation.
- Document findings and communicate any issues clearly.
Qualifications
- STEM degree (e.g., Remote Sensing, GIS, Physics, Engineering, Computer Science). (must have)
- Experience with AI/ML data annotation or image labeling. (nice-to-have)
- Familiarity with GIS tools (e.g., QGIS, ArcGIS) or remote sensing software. (nice-to-have)
- Knowledge of SAR and hyperspectral imagery. (nice-to-have)
- Attention to detail – Ability to perform repetitive tasks with high accuracy.
- Technical background – Experience with remote sensing, GIS, or geospatial analysis.
- Problem-solving skills – Ability to identify and fix data inconsistencies.
- Ability to work independently and follow structured workflows.
We are based in Houston, TX, USA, and requires some overlap with this time zone for easy communication.
Top Skills
Ai/Ml Data Annotation
Arcgis
Gis
Hyperspectral Imagery
Image Labeling
Qgis
Remote Sensing
Sar
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