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Agriculture, Forestry & Environmental Experts

micro1 · 100% remote · Contract · Posted

Pay
$40–60/hr
Location
Worldwide
Languages
English
Hours
Flexible
Openings
15
Level
Expert

Summary

Apply domain expertise to train AI systems in agriculture, forestry, and environmental science. Provide assessments, review datasets, create technical content, and advise on regulations and sustainability practices.

What you'll do

  • Contribute domain-specific knowledge to support AI training and evaluation
  • Provide detailed assessments on industry practices, challenges, and innovations
  • Review, annotate, and validate datasets and scenarios for accuracy
  • Create and refine technical content, process explanations, and policy guidance
  • Advise on regulatory frameworks, sustainability initiatives, and emerging trends
  • Participate in written and verbal discussions to align on deliverables
  • Support interdisciplinary collaboration among project stakeholders

Requirements

  • Have at least 5 years of professional experience in agriculture, forestry, environmental conservation, or related subdomains
  • Demonstrate proven expertise in sustainable agriculture, land management, or conservation practices
  • Communicate clearly in writing and verbally with technical accuracy
  • Analyze complex systems and provide actionable recommendations
  • Be familiar with current regulatory standards, industry trends, and technological advancements
  • Collaborate on interdisciplinary or cross-functional projects

Skills

  • Agricultural Engineering
  • Environmental Conservation

Full description

Role Title: Agriculture, Forestry & Environmental Experts


Role Type: Contractor


Location: Remote


micro1 is engaging Agriculture, Forestry & Environmental Experts to collaborate on a customer project aimed at advancing sustainable practices and environmental stewardship. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Contribute domain-specific knowledge to support the training and evaluation of AI-driven solutions in agriculture, forestry, and environmental science.
  2. Provide detailed assessments on industry practices, challenges, and innovations across subdomains such as agricultural engineering, food science, conservation, and land management.
  3. Review, annotate, and validate datasets, documents, and scenarios to ensure the accuracy and relevance of AI systems in real-world applications.
  4. Create and refine technical content, process explanations, and policy guidance for diverse agricultural and environmental contexts.
  5. Advise on regulatory frameworks, sustainability initiatives, and emerging trends relevant to agriculture, forestry, and environmental conservation.
  6. Participate in written and verbal discussions to clarify project objectives, share insights, and align on deliverables.
  7. Support interdisciplinary collaboration among project stakeholders, ensuring consistent application of expert knowledge throughout project phases.


Preferred Qualifications

  1. Minimum of 5 years’ professional experience in agriculture, forestry, environmental conservation, or related subdomains (including agricultural engineering, food science, farm/ranch management, conservation science, or forestry).
  2. Proven expertise in sustainable agriculture, land management, or conservation practices.
  3. Strong written and verbal communication skills, with an emphasis on clarity and technical accuracy.
  4. Demonstrated ability to analyze complex systems, solve problems, and provide actionable recommendations.
  5. Familiarity with current regulatory standards, industry trends, and technological advancements in agriculture and environmental management.
  6. Experience collaborating on interdisciplinary projects or with cross-functional teams.
  7. Advanced degree in a relevant field is highly regarded.

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