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Remote Ecologist Jobs in Colorado (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Pueblo, CO · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

micro1 AI

Computational Biologist - AI Reviewer

Arvada, CO · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

micro1 AI

Computational Biologist - AI Reviewer

Boulder, CO · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

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All JobsEcologist JobsRemote Ecologist JobsRemote Ecologist Jobs in Colorado

Remote Ecologist information

See Colorado salary details

$36.3K

$62.6K

$109.4K

How much do remote ecologist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote ecologist in Colorado is $62,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $77,800.00 per year, depending on experience, location, and employer.

What is a remote ecologist?

A Remote Ecologist studies ecosystems, biodiversity, and environmental changes using technology such as GIS, remote sensing, and data analysis without being physically present in the field. They may analyze satellite imagery, climate data, or ecological models to assess habitats, monitor wildlife, and support conservation efforts. This role often involves collaborating with researchers, government agencies, or environmental organizations to provide insights for ecological management and policy decisions.

What are the key skills and qualifications needed to thrive as a remote ecologist?

To thrive as a Remote Ecologist, you need a solid background in ecological principles, data analysis, and scientific research methodologies, generally supported by a relevant degree in ecology or environmental science. Familiarity with GIS software, remote sensing tools, and data management platforms, as well as certifications like Certified Ecologist (ESA), are often required. Strong written communication, attention to detail, and self-motivation are important soft skills for remote collaboration and effective independent work. These abilities enable ecologists to accurately collect, analyze, and report on environmental data while working remotely with multidisciplinary teams.

What are some common challenges faced by remote ecologists, and how can I prepare for them?

One common challenge for Remote Ecologists is managing fieldwork logistics and technical troubleshooting without direct, in-person support, especially when working in isolated locations. Additionally, maintaining clear communication and collaboration with team members across different time zones can require strong organizational skills and proactive engagement. To prepare, ensure you are comfortable using virtual communication platforms, have strong problem-solving abilities, and can work independently while staying aligned with team goals. Regular check-ins, thorough documentation, and flexibility with scheduling can help you navigate these challenges successfully. Ultimately, being resourceful and adaptable are key traits for thriving in a remote ecology role.

What are the most commonly searched types of Ecologist jobs in Colorado? The most popular types of Ecologist jobs in Colorado are:
What are popular job titles related to Remote Ecologist jobs in Colorado? For Remote Ecologist jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Ecologist jobs in Colorado look for? The top searched job categories for Remote Ecologist jobs in Colorado are:
What cities in Colorado are hiring for Remote Ecologist jobs? Cities in Colorado with the most Remote Ecologist job openings:
Remote Ecologist jobs near you
Infographic showing various Remote Ecologist job openings in Colorado as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $62,615 per year, or $30.1 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Longmont, CO • On-site, Remote

$90 - $120/hr

Part-time

Posted 13 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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