Remote Environmental AI Modeler — Flexible Hours

Crossing Hurdles; United States; À distance; USD 76 000 - 143 000; Temps partiel

Résumé du poste

Talantir is seeking Environmental Scientists and Specialists (Contract) for remote work in the United States. The role focuses on training AI systems with environmental data, analyzing air, water, and soil datasets, and applying environmental regulations to model inputs.

Flexible hours accompany a competitive hourly compensation. Candidates should have strong GIS and data tools proficiency, experience with environmental data platforms, and the ability to communicate findings clearly to

Qualifications

• Experience with ADMS, Wolfel IMMI, EcoRisk View and LIMS platforms.
• Proficiency in database systems (Microsoft Access, SQL) and environmental data tools.
• Expertise in GIS software including ESRI ArcGIS and ArcInfo.
• Familiarity with scientific visualization tools such as CorelDRAW and Adobe Illustrator.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a remote environment.
• Strong analytical and problem-solving skills in environmental science contexts.

Responsabilités

• Provide environmental science expertise to train and refine AI systems.
• Analyze pollution, atmospheric, soil, and water datasets for AI model development.
• Contribute domain knowledge in environmental risk assessment and mitigation strategies.
• Collaborate with engineers and data scientists to improve environmental AI model accuracy.
• Translate environmental regulations and standards into structured training inputs.
• Develop reports, visualizations, and presentations to support AI learning and stakeholder understanding.

Outils

ADMS

Wolfel IMMI

EcoRisk View

LIMS

Microsoft Access

SQL

ESRI ArcGIS

ArcInfo

CorelDRAW

Adobe Illustrator

Description du poste

Talantir is seeking Environmental Scientists and Specialists (Contract) for remote work in the United States. The role focuses on training AI systems with environmental data, analyzing air, water, and soil datasets, and applying environmental regulations to model inputs.

Flexible hours accompany a competitive hourly compensation. Candidates should have strong GIS and data tools proficiency, experience with environmental data platforms, and the ability to communicate findings clearly to