Environmental AI Training Specialist

Risedatalabs; United States; Remote; USD 22,000 - 39,000; Full time

Job summary

Rise Data Labs is seeking an Environmental AI Training Specialist to enhance models through expert data annotation and analysis in environmental science. You will help train AI systems with accurate, high-quality data tailored to environmental applications.

Responsibilities include annotating and labeling data, validating AI outputs, and applying domain knowledge to improve model performance across environmental sectors, with a strong emphasis on data quality and QA.

Qualifications

• Bachelor’s degree in Environmental Science, Ecology, or related field.
• Strong understanding of environmental science concepts and current trends.
• Experience in data annotation, labeling, or similar roles within AI training.
• Exceptional attention to detail and accuracy in data handling.
• Proficient in using data annotation tools and software.

Responsibilities

• Train and enhance AI models by performing data annotation and labeling specific to environmental science.
• Review and validate AI-generated content for accuracy, relevance, and adherence to environmental standards.
• Provide domain expertise to enhance AI model performance, ensuring that models reflect current environmental knowledge and practices.
• Contribute to a variety of AI training projects across different sectors within environmental science.
• Ensure high-quality data for machine learning applications, maintaining rigorous quality assurance standards.

Skills

Data annotation

Attention to detail

Data labeling

Proficient in annotation tools

Education

Bachelor’s degree in Environmental Science/ Ecology

Tools

Data annotation tools

Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

As an Environmental AI Training Specialist at Rise Data Labs, you will play a pivotal role in enhancing AI models through expert data annotation and analysis within the environmental science domain. Your insights will help us train and improve AI systems, ensuring they are equipped with accurate and high-quality data tailored to various environmental applications.

Key Responsibilities

• Train and enhance AI models by performing data annotation and labeling specific to environmental science.
• Review and validate AI-generated content for accuracy, relevance, and adherence to environmental standards.
• Provide domain expertise to enhance AI model performance, ensuring that models reflect current environmental knowledge and practices.
• Contribute to a variety of AI training projects across different sectors within environmental science.
• Ensure high-quality data for machine learning applications, maintaining rigorous quality assurance standards.

Required Skills and Qualifications

• Bachelor’s degree in Environmental Science, Ecology, or a related field.
• Strong understanding of environmental science concepts and current trends.
• Experience in data annotation, labeling, or similar roles within AI training.
• Exceptional attention to detail and accuracy in data handling.
• Proficient in using data annotation tools and software.

Preferred Qualifications

• Experience working with AI and machine learning technologies.
• Familiarity with environmental data sets and regulatory frameworks.
• Strong analytical and critical thinking skills.
• Excellent communication skills and ability to work collaboratively.

What We Offer

At Rise Data Labs, we value our team members and offer a supportive work environment that fosters growth and innovation. You will have the opportunity to work on diverse projects, collaborate with talented professionals, and contribute to impactful AI solutions in the environmental sector. We also provide competitive compensation, flexible work arrangements, and opportunities for professional development.