Forestry and Land Management Scientist (AI Training)

Alignerr Corp.; Manchester; Remote; GBP 34,000 - 69,000; Full time

Benefits offered by this job

Remote freelance work

Flexible schedule

Global collaboration

Job summary

Alignerr is seeking experienced forestry and land management scientists to help shape how AI understands sustainable forestry and land-use practices. This is a fully remote, hourly contract that fits around your schedule, offering 10–40 hours per week.

Review AI training data, assess the accuracy of AI-generated content on forest health and land-use planning, and identify errors or oversimplifications. You’ll provide structured feedback to improve AI reasoning, working independently and

Qualifications

• 3+ years hands-on forestry/land management experience.
• Strong knowledge of forest ecosystems and land-use planning.
• Ability to evaluate environmental decision-making and technical content.
• Detail-oriented, self-motivated and able to work independently.

Responsibilities

• Review AI training datasets for forestry and land management scenarios.
• Assess accuracy of AI-generated content on forest health and sustainability.
• Identify errors or misleading recommendations in management guidance.
• Provide structured feedback to improve AI reasoning.
• Work independently and asynchronously to fit around your schedule.

Skills

Forestry

Land management

Environmental science

Scientific analysis

Education

Forestry degree

Environmental sciences degree

Job description

About The Role

We're looking for experienced forestry and land management scientists to help shape the next generation of AI. Your field expertise will directly influence how AI systems understand, reason about, and communicate sustainable forestry and land-use practices — making a real‑world impact from your home office.

This is a remote, flexible contract role that fits around your schedule. Whether you're currently working in the field or looking for meaningful supplemental work, this is a rare opportunity to bring your scientific knowledge into the AI space.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-Based Contract
• Location: Fully Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review forestry and land management scenarios used in AI training datasets
• Assess the accuracy and quality of AI-generated content related to forest health, land use, and sustainability
• Identify errors, oversimplifications, or misleading recommendations in management guidance
• Provide clear, structured feedback that improves AI reasoning in applied environmental contexts
• Work independently and asynchronously — on your own schedule

Who You Are

• 3+ years of hands‑on experience in forestry, land management, or a closely related field
• Strong working knowledge of forest ecosystems, land‑use planning, and sustainable management practices
• Able to critically evaluate applied environmental decision‑making and technical written content
• Detail‑oriented, self‑motivated, and comfortable working independently
• No prior AI experience required — your scientific expertise is what matters

Nice to Have

• Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
• Experience with conservation programs, land‑use policy, or environmental assessments
• Familiarity with AI systems or content evaluation workflows

Why Join Us

• Work on cutting‑edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule, wherever you are
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that helps AI get environmental science rightPotential for ongoing work and contract extension