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Remote Earth Science Research Jobs in Manchester, NH

micro1 AI

Research Consultant - Physics AI

Manchester, NH · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

Physics Modeling Expert - Remote

Manchester, NH · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

AI Training Specialist - Physics

Manchester, NH · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ...

Wood Plc

Environmental Chemist

Chelmsford, MA · On-site +1

Knowledge of the principles and standards of scientific study, field investigation, sampling ... Familiarity with Earth Soft's EQuIS database program Additional Requirements if Field Work is ...

micro1 AI

Director of Biostatistics

Manchester, NH · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific ...

micro1 AI

Biostatistician

Manchester, NH · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific ...

All JobsEarth Science Research JobsRemote Earth Science Research JobsRemote Earth Science Research Jobs in Manchester, NH

Remote Earth Science Research information

What is remote earth science research?

Remote earth science research involves studying the Earth's systems—such as its atmosphere, oceans, land, and biosphere—using remote technologies. This typically means collecting and analyzing data from satellites, drones, and other remote sensing devices rather than conducting fieldwork in person. Researchers in this field analyze images, sensor data, and models to understand natural processes, track environmental changes, and inform policy decisions. Remote earth science research is essential for monitoring climate change, natural disasters, land use, and other large-scale phenomena. It allows scientists to observe areas that are difficult or dangerous to access directly.

What are the key skills and qualifications needed to thrive as a remote earth science researcher?

To thrive as a Remote Earth Science Researcher, you need a strong background in geology, environmental science, or a related field, typically supported by an advanced degree (MSc or PhD). Proficiency in remote sensing software, GIS tools, data analysis platforms, and sometimes programming languages like Python or R is essential. Attention to detail, problem-solving abilities, and effective written communication are vital soft skills for interpreting data and collaborating with cross-functional teams. These skills enable accurate scientific analysis, facilitate remote collaboration, and drive impactful research outcomes in the earth sciences.

What are some common challenges faced in remote earth science research roles, and how can they be managed?

Remote Earth science research roles often involve collaborating with team members and stakeholders across different time zones and regions, which can make communication and coordination challenging. Additionally, researchers may need to rely on digital tools for data collection, analysis, and remote sensing, which requires strong technical skills and adaptability. To manage these challenges, it's important to establish clear communication protocols, regularly check in with your team, and stay updated on new software and remote data collection methods. Flexibility and proactive problem-solving are key to thriving in this dynamic environment.

What is the difference between Remote Earth Science Research vs Remote Geologist?

AspectRemote Earth Science ResearchRemote Geologist
Required CredentialsBachelor's or higher in Earth Science, Geology, or related fields; certifications varyBachelor's or higher in Geology or Earth Science; often includes certifications like PG or PG in Geology
Work EnvironmentPrimarily desk-based research, data analysis, report writing; some fieldwork possibleMostly desk-based analysis, report writing; limited fieldwork, often remote or office-based
Employer & Industry UsageResearch institutions, universities, government agencies, environmental firmsMining companies, environmental consulting firms, government geological surveys

Remote Earth Science Research and Remote Geologist roles share similar educational backgrounds and work environments, focusing on data analysis and reporting. However, Earth Science Researchers often engage in broader research projects, while Geologists may have more fieldwork and industry-specific applications. Both roles are vital in understanding Earth's processes and are commonly sought in remote positions within the industry.

What job categories do people searching Remote Earth Science Research jobs in Manchester, NH look for?

The top searched job categories for Remote Earth Science Research jobs in Manchester, NH are:

Remote Earth Science Research jobs near you
Infographic showing various Remote Earth Science Research job openings in Manchester, NH as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Consultant - Physics AI

Manchester, NH • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $140/hr

Part-time

Posted 22 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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