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AAlignerr
AlignerrEnvironmental AI

Natural Resource Conservation Scientist

AI Training

Location

Remote, New York, United States

Work type

Remote

Employment

Freelance

Experience

3-8 years

Compensation

$30 - $55 per hour

Posted

2w ago

Summary and responsibilities

Role overview

Summary

This role involves evaluating and improving AI systems trained on environmental science, land management, and conservation decision-making. Experts will review conservation science questions, assess the scientific accuracy of AI-generated content, and provide feedback to enhance AI outputs related to ecosystems, land use, and biodiversity.

AI is rapidly expanding into environmental science — and it needs experts like you to get it right. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.

Your field knowledge will directly shape how AI understands ecosystems, interprets conservation data, and recommends land management strategies. This is a unique opportunity to influence cutting-edge AI development while working fully remotely on your own schedule.

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

What You'll Do

  • Review conservation science questions and real-world scenarios used in AI training datasets

  • Evaluate the scientific accuracy of AI-generated content related to land use, ecosystems, soil health, water systems, and biodiversity

  • Assess whether AI-generated recommendations reflect sound, real-world conservation practices

  • Provide clear, structured feedback to improve scientific reasoning and AI outputs

  • Work independently and asynchronously to complete task-based assignments on your schedule

Who You Are

  • 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field

  • Strong working knowledge of ecosystems, land management principles, and conservation practices

  • Able to critically evaluate scientific reasoning and applied conservation recommendations

  • Comfortable reviewing structured written content and delivering detailed, actionable feedback

  • Self-motivated and reliable when working independently

Nice to Have

  • Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline

  • Hands-on fieldwork or applied conservation experience

  • Familiarity with AI systems, content evaluation workflows, or scientific writing

Why Join Us

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

  • Fully remote and flexible — complete work on your own schedule

  • Freelance perks: autonomy, variety, and global collaboration

  • Contribute to AI that gets environmental science right

  • Potential for ongoing work and contract extension

Updated 2w ago

Candidate fit

Skills and qualifications

Additional skills

Natural Resource Conservation • 1+ yrs
Environmental Science • 1+ yrs
Land Management Principles • 1+ yrs
Conservation Practices • 1+ yrs
Ecosystems • 1+ yrs
Soil Health • 1+ yrs
Water Systems • 1+ yrs
Biodiversity • 1+ yrs
Scientific Accuracy Evaluation • 1+ yrs
Critical Evaluation • 1+ yrs
Structured Feedback • 1+ yrs
Independent Work • 1+ yrs
Self-motivation • 1+ yrs
Reliability • 1+ yrs
AI Systems • 1+ yrs
Content Evaluation Workflows • 1+ yrs
Scientific Writing • 1+ yrs

Experience

3-8 years

How this role is positioned

Role classification

Job domains

Data Science & Analytics

Industries

Wildlife & Conservation

Employment

Freelance

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 locationRemote, New York, United States
Work typeRemote
Global hiringNo

Bandwidth profile

peopleLow2/10
physicalLow1/10
cognitiveHigh8/10
executionMedium7/10
creativityMedium6/10
uncertaintyMedium6/10
communicationMedium6/10

Context on the employer

Company snapshot

Company

Alignerr

Team size

Growing team

Location

Remote, New York, United States

Alignerr (Powered by Labelbox) is an organization that focuses on improving AI systems trained on environmental science, land management, and conservation decision-making.

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External

Natural Resource Conservation Scientist

Remote, New York, United StatesFreelance