Remote Agriculture & Environmental Expert for AI Training

RemoteJobsOne; Philadelphia (Philadelphia County); Remote; USD 55,000 - 83,000; Full time

Job summary

RemoteJobsOne is seeking Agriculture, Forestry & Environmental Experts to join a fully remote project worldwide. You’ll apply domain knowledge to train AI systems, shaping how models learn and reason, with no prior AI experience required beyond expertise in your field.

Contribute to training data, provide assessments across subdomains, annotate datasets, and help create policy guidance for sustainable practices in agriculture and environmental conservation.

Qualifications

• Minimum 5 years of professional experience in agriculture, forestry, environmental conservation.
• Proven expertise in sustainable agriculture or land management.
• Strong written and verbal communication skills.
• Ability to analyze complex systems and provide actionable recommendations.
• Familiarity with regulatory standards and industry trends.

Responsibilities

• Contribute domain knowledge to support AI training data for agriculture, forestry and environmental science.
• Provide assessments on industry practices, challenges and innovations.
• Review, annotate and validate datasets and scenarios for AI systems.
• Create and refine technical content, process explanations and policy guidance.
• Advise on regulatory frameworks and sustainability initiatives.
• Participate in discussions to clarify objectives and align on deliverables.
• Support interdisciplinary collaboration among project stakeholders.

Skills

Agriculture expertise

Sustainable farming

Scientific communication

Data analysis

Cross-functional collaboration

Regulatory awareness

Education

Advanced degree in a relevant field

Job description

RemoteJobsOne is seeking Agriculture, Forestry & Environmental Experts to join a fully remote project worldwide. You’ll apply domain knowledge to train AI systems, shaping how models learn and reason, with no prior AI experience required beyond expertise in your field.

Contribute to training data, provide assessments across subdomains, annotate datasets, and help create policy guidance for sustainable practices in agriculture and environmental conservation.