Remote Forestry & Environmental Expert for AI Training

YO AI Labs; New York (NY); Remote; USD 55,000 - 124,000; Full time

Job summary

YO AI Labs is seeking experienced Agriculture, Forestry & Environmental Experts to support an AI training project focused on sustainability, conservation, and environmental management. Remote collaboration is welcomed for experts who can evaluate data, review industry practices, and improve AI-generated solutions.

Applicants should bring deep domain expertise and a track record of working with interdisciplinary teams to inform policy guidance, data annotation, and regulatory insights for ongoing

Qualifications

• 5+ years of professional experience in agriculture, forestry, environmental conservation, or related fields.
• Expertise in sustainable agriculture, land management, conservation, or a relevant specialty.
• Strong analytical, problem-solving, and communication skills.
• Ability to evaluate complex systems and provide actionable recommendations.
• Knowledge of relevant regulations, industry trends, and technological advancements.
• Experience collaborating with cross-functional or interdisciplinary teams.

Responsibilities

• Provide expert insights to support AI training and evaluation across agriculture, forestry, and environmental science.
• Assess industry practices, challenges, and innovations in agricultural engineering, food science, conservation, and land management.
• Review, annotate, and validate datasets, documents, and real-world scenarios.
• Develop and refine technical content, process explanations, and policy guidance.
• Provide insights on regulatory frameworks, sustainability initiatives, and emerging industry trends.
• Communicate project insights, clarify objectives, and collaborate with interdisciplinary teams.

Job description

YO AI Labs is seeking experienced Agriculture, Forestry & Environmental Experts to support an AI training project focused on sustainability, conservation, and environmental management. Remote collaboration is welcomed for experts who can evaluate data, review industry practices, and improve AI-generated solutions.

Applicants should bring deep domain expertise and a track record of working with interdisciplinary teams to inform policy guidance, data annotation, and regulatory insights for ongoing