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Agriculture, Forestry & Environmental Experts

micro1Legit · not rated yetPosted 12 days ago

Pay: $40–60/hr

Who can apply
Countries not stated in the listing
Hours
Hours vary · Freelance
Where
Remote, work from home
Job type
Expert (SME) review
Openings
15 openings

At a glance: A freelance, remote expert (SME) review job with micro1. It pays $40–60/hr, with hours that vary. The listing doesn't say which countries can apply.

  • Countries not stated

    The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only

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What happens after you click Apply

  1. You leave AI Trainer HQ and go to micro1’s own site.
  2. Pick a role, apply and answer the screening questions attached to it
  3. Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
  4. Complete a technical assessment if the role has one, then a hiring-manager review
  5. Take the offer, sign your Deel contract and clear the KYC identity check

How this pay compares

This job pays more than 30% of the 204 other science (PhD) jobs on the board that state pay; 68% pay more.

This job
$50/hrMiddle of $40–60/hr
Median on micro1
$65/hrFrom 287 other paid jobs
Median in science (PhD)
$65/hrFrom 204 other paid jobs
How we compare pay

Requirements

Qualifications
  • Agricultural Engineering
  • Environmental Conservation
Languages
  • English
Equipment
  • Computer with a reliable internet connection

About this job

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

• Contribute domain-specific knowledge to support the training and evaluation of AI-driven solutions in agriculture, forestry, and environmental science.

• Provide detailed assessments on industry practices, challenges, and innovations across subdomains such as agricultural engineering, food science, conservation, and land management.

• Review, annotate, and validate datasets, documents, and scenarios to ensure the accuracy and relevance of AI systems in real-world applications.

• Create and refine technical content, process explanations, and policy guidance for diverse agricultural and environmental contexts.

• Advise on regulatory frameworks, sustainability initiatives, and emerging trends relevant to agriculture, forestry, and environmental conservation.

• Participate in written and verbal discussions to clarify project objectives, share insights, and align on deliverables.

• Support interdisciplinary collaboration among project stakeholders, ensuring consistent application of expert knowledge throughout project phases.

Preferred Qualifications

• 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).

• Proven expertise in sustainable agriculture, land management, or conservation practices.

• Strong written and verbal communication skills, with an emphasis on clarity and technical accuracy.

• Demonstrated ability to analyze complex systems, solve problems, and provide actionable recommendations.

• Familiarity with current regulatory standards, industry trends, and technological advancements in agriculture and environmental management.

• Experience collaborating on interdisciplinary projects or with cross-functional teams.

• Advanced degree in a relevant field is highly regarded.

Listing history

First seen on our board
(9 days ago)
Posted by micro1
(12 days ago)
Last checked
Source
micro1

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