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Remote Research Interviewer Jobs in Minnesota (NOW HIRING)

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Remote Research Interviewer information

See Minnesota salary details

$5

$21

$38

How much do remote research interviewer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote research interviewer in Minnesota is $21.47, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $22.31 per hour, depending on experience, location, and employer.

What is a remote research interviewer?

A Remote Research Interviewer is a professional who conducts interviews and gathers data for research studies, typically via phone, video calls, or online surveys, all while working from a remote location. Their main responsibilities include contacting participants, asking structured or semi-structured questions, recording responses accurately, and ensuring data quality. This role is essential in academic, market, and social research, allowing organizations to reach diverse participants regardless of geographic location. Strong communication skills, attention to detail, and comfort with technology are important for success in this role.

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

To thrive as a Remote Research Interviewer, you need strong communication skills, attention to detail, and experience with data collection or survey methodologies, often supported by a relevant degree or coursework. Familiarity with online survey platforms, audio/video conferencing tools, and data management systems is typically required. Exceptional listening skills, professionalism, and adaptability help you build rapport with participants and handle diverse interview scenarios. These skills ensure high-quality, reliable data collection and a positive experience for research participants, which are crucial for the success of research projects.

How do remote research interviewers typically manage scheduling and communication challenges while working with participants across different time zones?

Remote Research Interviewers often coordinate with participants worldwide, which can lead to scheduling and communication challenges due to varying time zones and participant availability. To address this, interviewers commonly use digital scheduling tools and flexible calendars, and they may need to adjust their work hours periodically to accommodate participants. Proactive communication, clear instructions, and timely reminders are essential to ensure high response rates and successful interviews. Additionally, collaborating closely with project managers and fellow team members helps distribute workloads efficiently and maintain consistency in data collection.

What is the difference between Remote Research Interviewer vs Remote Data Collector?

AspectRemote Research InterviewerRemote Data Collector
CredentialsTypically requires research or social science background, sometimes with a degreeOften requires technical or field-specific certifications, less emphasis on research background
Work EnvironmentConducts interviews via phone, video, or online platforms; interacts directly with participantsGathers data through surveys, sensors, or online tools; may involve technical setup
Employer & IndustryUsed in market research, academic studies, healthcare, and social sciencesCommon in market research, environmental studies, and technical fields

The Remote Research Interviewer focuses on conducting interviews and gathering qualitative data through direct interaction, often requiring communication skills and research knowledge. In contrast, Remote Data Collectors primarily gather data through surveys or technical means, emphasizing data accuracy and technical skills. Both roles are remote, but they serve different research needs and require distinct skill sets.

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

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

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

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

Remote Research Interviewer jobs near you

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Minneapolis, MN • On-site, Remote

$80 - $150/hr

Part-time

Posted 14 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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