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Remote Research Methodology Jobs in Minnesota (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Saint Paul, MN · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Stagwell Global LLC

Brand Strategist

Minneapolis, MN · On-site +1

Design mixed-method research plans (qualitative, quantitative, behavioral, platform data) for ... Manages workflow smoothly across hybrid and remote teams; gives constructive feedback and ...

Danaher

Principal Clinical Scientist

Chaska, MN · On-site +1

Partner crossfunctionally with R&D, Regulatory, Medical Affairs, Quality, and Commercial teams to ... In-depth understanding of clinical study design and methodology in the diagnostics, medical device ...

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Remote Research Methodology information

What is remote research methodology?

Remote research methodology refers to the set of techniques and processes used to conduct research with participants who are not physically present in the same location as the researcher. This approach utilizes online tools, video conferencing, surveys, and digital collaboration platforms to collect data. Remote research methods are especially useful for reaching geographically dispersed participants, increasing flexibility, and reducing costs. However, they also require careful planning to ensure data security, participant engagement, and validity of results.

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

To thrive as a Remote Research Methodologist, you need a strong background in research design, statistical analysis, and data interpretation, typically supported by an advanced degree in a relevant field such as social sciences, psychology, or statistics. Familiarity with data analysis software (e.g., SPSS, R, or Python), survey platforms, and remote collaboration tools is essential. Excellent written communication, critical thinking, and self-motivation are vital soft skills for effectively conducting and presenting research in a remote setting. These skills ensure high-quality, reliable research outcomes and successful collaboration across distributed teams.

How does a remote research methodology specialist typically collaborate with cross-functional teams?

Remote research methodology specialists often work closely with project managers, data analysts, and subject matter experts through virtual meetings and collaboration tools. They are responsible for designing research frameworks, ensuring methodological rigor, and communicating findings to diverse stakeholders. Effective digital communication and documentation are key, as team members may be spread across different locations and time zones. Regular check-ins and leveraging platforms like Slack, Zoom, or shared documents help maintain alignment and support project goals.

What is the difference between Remote Research Methodology vs Remote Data Analyst?

AspectRemote Research MethodologyRemote Data Analyst
Required CredentialsResearch methods certifications, degrees in social sciences or researchStatistics, data analysis, or related degrees, certifications in data tools
Work EnvironmentDesigning research studies, developing methodologies remotelyAnalyzing datasets, creating reports from remote locations
Employer & Industry UsageAcademic, market research, social research firmsBusiness, marketing, finance sectors
Search & Comparison IntentUnderstanding research design roles, methodologiesData analysis techniques, reporting roles

Remote Research Methodology focuses on designing and implementing research strategies remotely, often requiring expertise in research design and methodologies. Remote Data Analysts primarily analyze datasets and generate insights from data. While both roles involve data and research skills, the former emphasizes research design, and the latter emphasizes data analysis and reporting.

What are the most commonly searched types of Research Methodology jobs in Minnesota?

The most popular types of Research Methodology jobs in Minnesota are:

What are popular job titles related to Remote Research Methodology jobs in Minnesota?

For Remote Research Methodology jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Research Methodology jobs in Minnesota look for?

The top searched job categories for Remote Research Methodology jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Research Methodology jobs?

Cities in Minnesota with the most Remote Research Methodology job openings:

Remote Research Methodology jobs near you
Infographic showing various Remote Research Methodology job openings in Minnesota as of August 2026, with employment types broken down into 83% Full Time, 6% Temporary, and 11% Contract. Highlights an 100% Remote job distribution.

AI Training Specialist - Physics

micro1 AI

Saint Paul, MN • On-site, Remote

$80 - $150/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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