Environmental AI Training Specialist

Role overview Apply environmental science expertise to the training and evaluation of AI systems. You will annotate domain-specific data, assess generated content against current knowledge and environmental standards, and help maintain reliable training material across environmental applications.

Responsibilities - Label environmental science data for AI training projects. - Review generated content for accuracy, relevance, and consistency with environmental standards. - Advise on model performance using current environmental knowledge and practice. - Contribute to training projects across different environmental science areas. - Maintain rigorous quality checks on data used in machine learning.

Requirements - Bachelor’s degree in environmental science, ecology, or a related field. - Strong understanding of environmental science concepts and current developments. - Experience with data annotation, labeling, or comparable AI training work. - Careful and accurate handling of data. - Proficiency with annotation tools and software.

Nice to have - Experience with AI or machine learning technologies. - Familiarity with environmental datasets and regulatory frameworks. - Strong analytical and critical thinking skills. - Effective communication and collaborative working skills.

Benefits and work setup The position offers flexible work arrangements, competitive compensation, and professional development opportunities. It includes work on varied projects with a focus on environmental AI applications.