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AAlignerr
AlignerrArtificial Intelligence

Forestry and Land Management Scientist (AI Training)

Location

Delhi, Delhi, India

Work type

Remote

Employment

Contract

Experience

3+ years

Compensation

$30 - $55 per hour

Posted

2d ago

Summary and responsibilities

Role overview

Summary

This role involves evaluating and improving AI systems focused on sustainable forestry and land-use practices. Responsibilities include reviewing AI training datasets, assessing content accuracy related to forest health and sustainability, and identifying errors in management recommendations. The scientist will provide structured feedback to enhance AI-generated reasoning and work independently on a flexible schedule.

About The Role

We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and environmental decision-making — making a real impact on how these critical topics are represented in next-generation AI tools.

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

What You'll Do

  • Review forestry and land management scenarios used in AI training datasets

  • Assess the accuracy of AI-generated content related to forest health, land use, and sustainability practices

  • Identify factual errors, oversimplifications, or flawed reasoning in management recommendations

  • Provide clear, structured feedback to improve the quality of AI-generated applied reasoning

  • Work independently and asynchronously on your own schedule

Who You Are

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

  • Strong understanding of forest ecosystems, silviculture, and land management principles

  • Able to critically evaluate applied environmental and resource management decision-making

  • Comfortable reviewing and assessing written technical content with precision

  • Self-motivated, reliable, and able to meet deadlines without close supervision

  • No prior AI experience required

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 top research labs shaping the future of AI

  • Fully remote and flexible — work on your own schedule, from anywhere

  • Freelance perks: autonomy, variety, and meaningful work with real-world impact

  • Contribute to ensuring AI gets environmental science right — for researchers, practitioners, and policymakers who rely on it

  • Potential for ongoing work and contract extension

Updated 2d ago

Candidate fit

Skills and qualifications

Additional skills

Forestry • 1+ yrs
Land Management • 1+ yrs
Forest Ecosystems • 1+ yrs
Silviculture • 1+ yrs
Environmental Decision-making • 1+ yrs
Critical Evaluation • 1+ yrs
Applied Environmental and Resource Management • 1+ yrs
Technical Content Review • 1+ yrs
Precision • 1+ yrs
Self-motivation • 1+ yrs
Reliability • 1+ yrs
Meeting Deadlines • 1+ yrs
Land-use Planning • 1+ yrs
Conservation Programs • 1+ yrs
Regulatory Compliance • 1+ yrs
AI Systems • 1+ yrs
Content Evaluation Workflows • 1+ yrs

Experience

3+ years

How this role is positioned

Role classification

Job domains

Administration & Office

Industries

Wildlife & Conservation

Employment

Contract

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

$30 - $55 per hour

VisibilityShared on listing
CurrencyUSD
PeriodHourly

Location, schedule, and role shape

Work setup

Work conditions

Primary locationDelhi, Delhi, India
Work typeRemote
Global hiringNo

Bandwidth profile

peopleLow2/10
physicalLow1/10
cognitiveHigh8/10
executionMedium7/10
creativityMedium5/10
uncertaintyMedium6/10
communicationMedium6/10

Context on the employer

Company snapshot

Company

Alignerr

Team size

Growing team

Location

Delhi, Delhi, India

Alignerr (Powered by Labelbox) is seeking experienced forestry and land management scientists to evaluate and improve AI systems trained on sustainable forestry and land-use practices. This role involves shaping how AI understands forest ecosystems, management strategies, and environmental decision-making.

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Forestry and Land Management Scientist (AI Training)

Delhi, Delhi, IndiaContract