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AAlignerr
AlignerrAI Training

Forestry and Land Management Scientist (AI Training)

Location

Mumbai, India

Work type

Remote

Employment

Contract

Experience

3+ years

Compensation

Compensation not disclosed

Posted

1d ago

Summary and responsibilities

Role overview

Summary

Alignerr is seeking experienced forestry and land management scientists to review AI-generated scenarios for scientific accuracy and practical soundness. This fully remote contract role involves evaluating content related to forest health, biodiversity, land use, and sustainability practices to improve AI reasoning and reliability.

About The Role

We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and conservation professionals worldwide.

This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to the future of AI in environmental science.

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

What You'll Do

  • Review AI-generated forestry and land management scenarios for scientific accuracy and practical soundness

  • Evaluate content related to forest health, biodiversity, land use, and sustainability practices

  • Identify errors, oversimplifications, or misleading recommendations in AI outputs

  • Assess the quality of applied environmental decision-making presented by AI systems

  • Provide clear, structured feedback that helps improve AI reasoning and reliability

  • Work independently and asynchronously — no meetings required

Who You Are

  • 3+ years of hands-on experience in forestry, land management, or a closely related field

  • Strong working knowledge of forest ecosystems, management techniques, and sustainability principles

  • Able to critically evaluate applied environmental recommendations and flag inaccuracies

  • Comfortable reviewing and providing feedback on written technical content

  • Self-motivated, detail-oriented, and reliable

Nice to Have

  • Degree in Forestry, Natural Resources, Environmental Science, or a related discipline

  • Experience with land-use planning, conservation programs, or regulatory compliance

  • Familiarity with AI systems or content evaluation workflows

Why Join Us

  • Work on cutting-edge AI projects with real-world environmental impact

  • Fully remote and flexible — work when and where it suits you

  • Freelance perks: autonomy, variety, and global collaboration

  • Gain exposure to advanced AI systems and how large language models are trained

  • Potential for ongoing work and contract extension

Updated 1d ago

Candidate fit

Skills and qualifications

Additional skills

Forestry • 1+ yrs
Land Management • 1+ yrs
Forest Ecosystems • 1+ yrs
Sustainability Principles • 1+ yrs
Content Evaluation • 1+ yrs
Critical Thinking • 1+ yrs
Detail Orientation • 1+ yrs
Self-motivation • 1+ yrs

Experience

3+ years

How this role is positioned

Role classification

Job domains

Other

Industries

Technology & IT

Employment

Contract

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

Compensation not disclosed

VisibilityShared on listing
CurrencyUSD
PeriodYearly

Location, schedule, and role shape

Work setup

Work conditions

Primary locationMumbai, India
Work typeRemote
Global hiringNo

Bandwidth profile

peopleLow2/10
physicalLow1/10
cognitiveHigh8/10
executionHigh8/10
creativityMedium6/10
uncertaintyMedium6/10
communicationMedium5/10

Context on the employer

Company snapshot

Company

Alignerr

Team size

Growing team

Location

Mumbai, India

Alignerr (Powered by Labelbox) is seeking experienced forestry and land management scientists to help shape how AI understands sustainable forestry, forest health, and land-use decision-making. They offer fully remote, flexible contract roles, influencing AI systems used by researchers, policymakers, and conservation professionals worldwide.

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Forestry and Land Management Scientist (AI Training)

Mumbai, IndiaContract