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Remote Forest Ecology Research Jobs (NOW HIRING)

The Pennsylvania State University

$19 - $26/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Assisting with cleaning, coding, and analysis of rodent ecology datasets (trapping records, species ...

Blue Forest

Chief Operating Officer

Sacramento, CA · On-site +1

$200K - $225K/yr

Remote Reports to : Chief Executive Officer (CEO) Salary : $200,000 - $225,000 Travel : Up to 25 ... research, financial innovation, and collaborative partnerships. Since 2018, Blue Forest has managed ...

Vibrant Planet

Spatial Wildfire Analyst

... FS Research Data Archive. * Experience with fuelscape vegetation and fuels datasets, such as ... remote sensing datasets such as LiDAR, NAIP, and LANDSAT. * Understanding of ecology in dry forests ...

Forest Stewards Guild

Agreements Manager

Santa Fe, NM · On-site +1

$87K - $116K/yr

The Manager will play an essential role in implementing ecological forestry in on-the-ground ... Analyze research and address changes to rules and regulations. * Maintain confidentiality and ...

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Remote Forest Ecology Research information

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$29K

$59.9K

$94K

How much do remote forest ecology research jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote forest ecology research in the United States is $59,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $78,500.00 per year, depending on experience, location, and employer.

What is remote forest ecology research?

Remote forest ecology research involves studying forests and their ecosystems using technologies such as satellite imagery, drones, and remote sensors. This approach allows researchers to monitor forest health, biodiversity, and environmental changes without being physically present in the forest. It is especially useful for observing large or inaccessible areas, tracking deforestation, and assessing the impacts of climate change. Remote research enables scientists to collect data more efficiently and over longer periods, leading to better-informed conservation and management decisions.

What are some unique challenges of conducting forest ecology research remotely, and how can I effectively collaborate with onsite teams?

Remote forest ecology researchers often face challenges such as limited direct access to field sites, reliance on digital data collection tools, and the need to coordinate across different time zones. Effective collaboration with onsite teams is crucial; this typically involves regular virtual meetings, clear communication of research objectives, and using shared platforms for data management and analysis. Building strong working relationships with field staff ensures timely updates on site conditions and data quality, helping remote researchers stay closely involved and make informed decisions.

What are the key skills and qualifications needed to thrive in remote forest ecology research, and why are they important?

To thrive in Remote Forest Ecology Research, you need strong knowledge of ecology, data analysis, field research techniques, and typically a degree in environmental science or a related field. Familiarity with GIS software, remote sensing tools, statistical analysis programs, and sometimes drone technology is important. Excellent problem-solving, attention to detail, self-motivation, and effective communication are vital soft skills for remote fieldwork and collaboration. These skills ensure accurate data collection, meaningful analysis, and successful project outcomes in often challenging and isolated environments.
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Remote Forest Ecology Research jobs near you
Infographic showing various Remote Forest Ecology Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $59,852 per year, or $28.8 per hour.

GHG Quantification and Mangrove Specialist, Nature-based Solutions (NbS)

Terra Global

Oakland, CA • On-site, Remote

Full-time

Posted 9 days ago

Job description

Position: GHG Quantification and Mangrove Specialist, Nature-based Solutions (NbS)
Term: Full-time - Employee or Consultant (depending on location)
Location: Remote (working at least 4 hours in North America Pacific time zone)Company Summary
Founded in 2006, Terra Global is a mission driven company delivering 20 years of passion and persistence for people and the planet. Terra Global's mission is to provide technical expertise and climate-related private sector finance to empower communities, governments, and local partners to build financially, socially, and environmentally sustainable landscapes. Terra Global is a global leader in sustainable forest and agriculture program development, land-use greenhouse gas quantification and finance, and providing technical expertise and investment capital to their global client base in a collaborative and innovative manner. Having worked in 30+ countries, Terra Global has designed and supported the implementation of REDD+ and other sustainable landscape programs from the project to national scale.Position Responsibilities
This position for GHG quantification provides full-time technical support for carbon accounting and calculations, both at project and program scales, as well as contributing to business development. Candidate should bring expertise in Nature-based Solutions (NbS) sector and specialize in mangrove and/or wetland ecosystems. The ideal candidate should possess a minimum of 5 years of experience in data collection, analysis, and interpretation related to natural ecosystems, with a significant emphasis on mangrove ecosystems. In this role, you will utilize statistical modeling to create predictive models and develop statistical tools aimed at improving and evaluating our carbon accounting models. The candidate will:
  • Lead technical design and review of blue carbon projects focused on mangroves and other tidal wetlands, including both restoration and conservation activities.
  • Utilize advanced biostatistical techniques to analyze and interpret carbon emissions data, with a specific focus on biological and ecological aspects. Identify key trends and patterns to inform decision-making. This position for GHG quantification specifically supports technical aspects of methodology development, carbon accounting and calculations (at project and program scales), and business development. The preferred candidate has a minimum of 5 years' experience in carbon modeling and statistics and is a self-starter who shows team leadership qualities with proven ability to work on a tight deliverable schedule.
  • Evaluate and collaborate on the development of predictive models and statistical tools to forecast future carbon emissions and/or growth, considering biological and ecological factors.
  • Assess and model sea-level rise, sediment accretion, submergence, erosion, salinity, wetland migration, and related non-permanence risks affecting project performance and carbon stocks.
  • Develop and review technical aspects of AFOLU carbon projects and programs and provide guidance regarding project typology, eligible methodologies and mechanics of carbon monitoring, reporting and verification
  • Compile data from literature and field-data, including forest inventory for GHG accounting procedures for any AFOLU project types
  • Develop models in excel and python for baseline, ex-ante carbon calculations, and ex-post emission reductions/removals of AFOLU carbon projects and programs
  • Visit remote project sites primarily in developing countries and verify fieldwork to support forest based carbon projects (e.g., overseeing and reviewing biomass inventories)
  • Manage the collection of in-situ land use and land cover data and assess the biophysical, and socio-economic feasibility of NBS/AFOLU carbon projects
  • Support Project Managers for multiple international projects, including ensuring tasks remain under budget and on schedule.
Essential Skills and Qualifications
  • Background quantifying GHG emissions in successful carbon projects following market standards
  • Applied understanding of wetland hydrology, sediment accretion and erosion, water table dynamics, salinity, organic vs. mineral soils, and soil organic carbon accounting
  • Proficiency in statistical software and data analysis tools, such as Python, or others
  • Coursework in biometrics, biostatistics, modeling, programming, GIS analysis, soil science, and forest systems
  • A bachelor's degree in applied natural sciences such as forestry, ecology, natural resources, or biogeochemistry strongly suggested
  • Preferred master's in biostatistics, statistics, or a related field
  • Practical and applied understanding of mathematical and statistical principles related to forest growth, yields and harvests
  • Strong understanding of mangrove ecosystems and their unique biogeochemical modeling, as well as the use of Verra's Methodologies VM0033, VMD0050, VMD0051, and VMD0052
  • Strong analytical and problem-solving skills, with a proven ability to work with complex and extensive data sets
  • Meticulous attention to detail and organizational skills
  • Experience in forest monitoring, REDD+ carbon accounting, and MRV, including familiarity with accreditation programs and standards like the ACR, CDM, VCS, FCPF and CAR
  • Excellent skills in MS Office suite, including advanced Excel skills of modeling, computer-literate with the ability to absorb new tools quickly
  • Logical and structured thinker with understanding of spatial software
  • Excellent written skills in English, and able to communicate fluently in English
  • Organized, market-focused and results-oriented
  • Understanding of cultural sensitivities associated with working in international settings
  • Able to work collaboratively in a team environment while self-managing deliverables
  • Passionate about working in the development and environmental sector
  • Preferred knowledge of at least one foreign language, preferably French, Spanish, or Portuguese.
Other Skills
  • Passion/persistence to work as a team-player and contribute to a company dedicated to Nature-based Solutions (NbS) program approaches
  • Excellent communication and organizational skills: Verbal, written, and presentational
  • High-level attention to detail
  • Proactive and positive attitude; strong willingness to contribute effectively and positively to a multidisciplinary, global private company
  • Highly motivated to meet corporate and personal/professional Key Performance Indicators (KPIs), as assigned annually
  • Experience with GHG market standards, guidelines and protocols
  • Actively working to learn new skills in order to stay ahead of with changing technologies and industry trends and shares knowledge proactively with others
  • Able to apply business knowledge to develop and deliver innovative, beneficial improvements.
  • Excellent collaboration skills required both in-person and fully remote
  • Demonstrable ability to operate and effectively communicate while under pressure, as well as the ability to lead a diverse workload and work under time constraints
  • Skilled in communicating technical topics to non-technical audiences
  • Experience working in an international environment, specifically in developing countries.
What We Offer
  • "20 Years of Passion and Persistence for People and the Planet": work for a successful, mission driven social enterprise that is an industry leader in facilitating financially, socially, and environmentally sustainable landscapes in developing and emerging economies
  • Professional Growth: thrive on the opportunity to learn through training and development with dedicated professionals working from different countries around the world
  • Collaboration: join a great team atmosphere and a corporate culture based on mutual respect, partnerships, flat reporting structures and the opportunity to work from home
  • Salary compensation: $68-100k base per year for US based staff, commensurate with qualifications and home working location.

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