[Hiring] Agriculture, Forestry & Environmental Experts @24-MAG

Role Description

We are sharing a specialised remote consulting opportunity for experienced Agriculture, Forestry, and Environmental Professionals with strong expertise in agricultural engineering, sustainable farming, environmental conservation, natural resource management, and forestry practices to contribute their domain knowledge to advanced AI training and evaluation initiatives. Selected professionals will review agricultural and environmental scenarios, evaluate technical content and industry practices, and provide structured expert feedback on AI-generated materials. The work combines practical field experience with environmental science, sustainability principles, land management, regulatory knowledge, and technical evaluation to help improve the accuracy, reasoning, and real-world applicability of advanced AI systems. Prior experience with AI training projects is not required.

Qualifications

• At least 5 years of professional experience in agriculture, forestry, environmental conservation, or a directly related discipline is preferred.
• Demonstrated professional expertise in agricultural engineering, sustainable agriculture, conservation science, forestry, or natural resource management.
• Experience in food science, farm management, ranch management, or agricultural production systems is also relevant.
• Strong understanding of agricultural operations, environmental science, or related technical practices.
• Practical knowledge of sustainable farming methods, land management, and conservation principles.
• Experience analysing industry-specific problems and developing practical technical recommendations.
• Familiarity with environmental stewardship, ecological considerations, and resource management practices.
• Demonstrated ability to evaluate operational workflows, scientific explanations, and technical scenarios for accuracy.
• Understanding of relevant agricultural or environmental regulatory frameworks and industry standards.
• Familiarity with emerging technologies and innovations in agriculture, forestry, or environmental management.
• Strong analytical reasoning, technical problem-solving, and professional judgement capabilities.
• Ability to identify inaccuracies, incomplete information, and unrealistic assumptions within technical content.
• Experience preparing technical reports, procedural documentation, research materials, or professional recommendations.
• Excellent written and verbal communication skills, including the ability to explain complex technical concepts clearly.
• Demonstrated ability to collaborate effectively with interdisciplinary teams and technical stakeholders.
• An advanced degree in Agriculture, Agricultural Engineering, Forestry, Environmental Science, Conservation Science, or a related field is highly regarded.
• Strong attention to detail and commitment to accurate, practical, and well-documented technical evaluations.
• Ability to work independently and contribute effectively within a remote consulting environment.
• Familiarity with technology-driven agricultural or environmental solutions is advantageous.

Requirements

• Freelance / contract engagement.
• Fully remote.
• Compensation: $40–$60/hour.
• 15 available openings.
• Specialised consulting role spanning agriculture, forestry, environmental conservation, natural resource management, and AI evaluation.

Benefits

• Work will involve reviewing agricultural and environmental scenarios, evaluating technical workflows, analysing AI-generated content, and providing structured expert feedback.
• Assignments may address sustainability practices, regulatory considerations, industry standards, land management, and emerging agricultural technologies.
• Professionals will apply practical domain expertise to assess the accuracy, relevance, and technical quality of AI-generated materials.
• Deliverables may include written evaluations, technical content reviews, process explanations, and documented recommendations.
• Collaboration may involve agricultural specialists, environmental researchers, forestry professionals, and multidisciplinary technical contributors.
• An advanced academic qualification in a relevant discipline is advantageous.