EHS Specialist; Remote

• Engagement: Hourly contract (independent contractor)
• Rate: USD 55-104/hour

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.

• 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.

• Proficiency with environmental modeling and analysis software, including ADMS Pollution
  , Wolfel IMMI
  , Environmental Eco Risk View
  , and Laboratory Information Management Systems (LIMS).
• Experience with database tools such as Microsoft Access
  , SQL
  , and Tucows Chem Base
  .
• Strong GIS and mapping expertise using ESRI ArcGIS and Arcinfo
  .
• Competence in visual communication tools, including CorelDRAW
  , Adobe Illustrator
  , Microsoft Power Point , and image management platforms like Smug Mug 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.

• 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.