EHS Specialist (Remote)

Title:

EHS Specialist (Remote) Engagement:

Hourly contract (independent contractor) Rate:

USD 55-104/hour

Job Summary We are seeking experienced Environmental Scientists and Specialists, including those with expertise in environmental health, to join our customer’s team as AI Trainers. In this remote role, you will leverage your technical knowledge to assess environmental risks, analyze data, and provide subject matter expertise to train AI models. Your contributions will advance environmental protection initiatives, enhance public health outcomes, and improve AI-driven environmental decision-making.

Key Responsibilities Communicate complex scientific and technical information clearly to public, organizational, and internal audiences through reports, presentations, workshops, and hearings. Collect, synthesize, and analyze environmental data, including pollution emissions, atmospheric, soil, and water samples, using advanced modeling and data management tools. Monitor and evaluate environmental risks and land degradation, recommending mitigation and prevention strategies. Review, interpret, and ensure compliance with environmental standards, guidelines, and regulations. Provide expert guidance to governmental agencies, industry partners, and environmental programs. Lead or support AI training initiatives by providing domain expertise, annotated datasets, and scenario-based input for machine learning applications. Develop visualizations, presentations, and reports to support informed decision-making and stakeholder engagement.

Required Skills and Qualifications Proficiency with environmental modeling and analysis software, including

ADMS Pollution ,

Wolfel IMMI ,

Environmental EcoRisk View , and

Laboratory Information Management Systems (LIMS) . Experience with

database tools

such as

Microsoft Access ,

SQL , and

Tucows ChemBase . Strong GIS and mapping expertise using

ESRI ArcGIS

and

Arcinfo . Competence in visual communication tools, including

CorelDRAW ,

Adobe Illustrator ,

Microsoft PowerPoint , and image management platforms like

SmugMug

or

Flickr . Exceptional written and verbal communication skills to translate complex scientific concepts for technical and non-technical audiences. Demonstrated ability to work collaboratively in remote, cross-functional teams. Proven analytical, data interpretation, and problem-solving skills in environmental contexts.

Preferred Qualifications Experience in AI training or data annotation to enhance machine learning applications in environmental science. Advanced degree in

Environmental Science ,

Environmental Health , or a related discipline. Professional certifications in environmental management, pollution control, or related areas.

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