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How much do from home disinformation research jobs pay per year?

As of Jul 18, 2026, the average yearly pay for from home disinformation research in the United States is $58,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Work-from-Home Disinformation Researcher, and why are they important?

To thrive as a Work-from-Home Disinformation Researcher, you need strong analytical abilities, research skills, and a background in fields such as communications, political science, or information science. Familiarity with digital forensics tools, social media monitoring platforms, and data visualization software is typically required. Critical thinking, attention to detail, and clear written communication help researchers excel in identifying and reporting false information. These skills are essential for accurately detecting disinformation trends and effectively communicating findings to stakeholders.

How do I become an online researcher?

To become an online researcher in disinformation research, develop strong skills in critical thinking, data analysis, and digital literacy. Gain experience with fact-checking tools, social media platforms, and research methodologies, and consider relevant certifications or training in information verification. Building a portfolio of research projects can also improve employment prospects in this field.

Do search engine evaluators work-from-home?

Yes, search engine evaluators often work from home, performing tasks such as assessing search results for relevance and quality. These roles typically require a computer, internet connection, and sometimes specific training or certifications, and they usually offer flexible schedules.

Can you work-from-home as a researcher?

From home disinformation research roles often allow remote work, enabling researchers to analyze online content and identify false information from their own location. These positions typically require strong analytical skills, familiarity with digital tools, and the ability to work independently within flexible schedules.

What is a From Home Disinformation Researcher?

A From Home Disinformation Researcher is a professional who studies and analyzes false or misleading information circulating online, particularly on social media and digital platforms, while working remotely. Their responsibilities typically include identifying disinformation campaigns, tracking trends, and providing reports or recommendations to help organizations understand and counteract misinformation. They may use a variety of data analysis tools, open-source intelligence techniques, and sometimes collaborate with journalists, academics, or policy makers. Working from home allows them to access and monitor global information sources efficiently. This role is important in combating the spread of harmful or deceptive content online.

How can I make 2000 a week working from home?

In a from home disinformation research role, earning $2000 weekly typically requires high-level skills in research, critical analysis, and familiarity with digital tools. Such positions may pay well for experienced researchers, but consistent high earnings often depend on the complexity of tasks, project scope, and the employer's pay structure, which can vary widely. Building a strong reputation and gaining specialized knowledge can help increase earning potential in this field.

What are the main challenges of working remotely as a disinformation researcher, and how can I effectively collaborate with my team?

Working from home as a disinformation researcher presents unique challenges, such as staying up-to-date with rapidly evolving misinformation trends and maintaining secure communication with your team. Collaboration often relies on digital tools like secure messaging platforms, cloud-based research databases, and regular video meetings to share findings and coordinate efforts. Building strong, proactive communication habits and participating in virtual team discussions will help you stay connected and contribute effectively. Additionally, setting clear boundaries and schedules can help manage the intensity and emotional impact of researching sensitive or distressing content.

What is the difference between From Home Disinformation Research vs From Home Content Moderation?

AspectFrom Home Disinformation ResearchFrom Home Content Moderation
Required CredentialsBachelor's degree in communications, political science, or related fieldsHigh school diploma or equivalent; some roles prefer experience in online moderation
Work EnvironmentRemote research-focused tasks, analyzing information sourcesRemote monitoring and filtering of user-generated content
Employer & Industry UsageTech companies, social media platforms, research organizationsSocial media companies, online platforms, content hosting services

From Home Disinformation Research involves analyzing and identifying false information online, often requiring research skills and analytical thinking. In contrast, From Home Content Moderation focuses on reviewing and removing inappropriate or harmful content. Both roles are remote and industry-related but differ in their primary responsibilities and skill sets.

More about From Home Disinformation Research jobs
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What states have the most From Home Disinformation Research jobs? States with the most job openings for From Home Disinformation Research jobs include:
What job categories do people searching From Home Disinformation Research jobs look for? The top searched job categories for From Home Disinformation Research jobs are:
From Home Disinformation Research jobs near you
RESEARCH ASST I (TEMP) - Qualitative Coding of Medication Abortion Content on TikTok

RESEARCH ASST I (TEMP) - Qualitative Coding of Medication Abortion Content on TikTok

University of Michigan

Ann Arbor, MI • On-site

$15 - $20/hr

Part-time

Posted 9 days ago

University Of Michigan rating

8.2

Company rating: 8.2 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

122nd of 555 rated colleges and universities

Job description

How to Apply
Please submit your resume and a brief cover letter outlining your interest and relevant experience.
Training Provided
No prior experience with content analysis or qualitative coding is required. The selected student will be trained on the study's content analysis and qualitative coding methods, including codebook development, applying codes in qualitative analysis software, and intercoder reliability procedures. Applicants do not need to know these methods in advance, a willingness to learn and apply structured procedures carefully is what matters.
Job Summary
We are seeking a motivated nurse-midwifery or DNP student to serve as a Graduate Research Assistant on a mixed-methods content analysis study examining how self-managed and medication abortion is discussed, represented, and experienced on TikTok. Following the 2022 Dobbs decision, growing numbers of people turn to social media to fill informational and emotional gaps left by the formal healthcare system, yet TikTok remains largely unexamined in the research literature. This study analyzes approximately 300 TikTok videos to identify prevalent themes, misinformation and disinformation, and unmet patient needs, and to translate those findings into evidence-based talking points that improve clinician communication. The position centers on qualitative coding: the assistant will help build and apply coding frameworks to the video corpus. This role is ideal for a student who wants to pair clinical training in midwifery with rigorous qualitative research experience at the intersection of reproductive health, digital communication, and equity.
Hours: 10-20 hours per week, flexible around clinical and academic schedule
Term: July 2026 - June 2027 (renewable based on funding and performance)
Location: Hybrid primarily work-from-home, with occasional in-person meetings in the Ann Arbor area
Responsibilities*
  • Watch and systematically code a corpus of approximately 300 English-language TikTok videos addressing medication and self-managed abortion.
  • Assist in developing, refining, and documenting the codebook, including both inductive (emergent) and deductive (theory-driven) codes for themes, misinformation, and disinformation.
  • Apply qualitative codes using analysis software documenting coding decisions and emerging themes.
  • Participate in intercoder reliability testing, reconcile coding discrepancies with the research team, and help calculate and report agreement metrics.
  • Distinguish unintentional misinformation from deliberate disinformation, and flag scientifically unsupported claims (e.g., unverified herbal alternatives or unsafe practices).
  • Organize and manage the video corpus and associated metadata (engagement metrics, posting dates, creator data) in accordance with the study's data governance plan.
  • Help contextualize coded narratives using engagement metrics such as views, likes, comments, and shares.
  • Synthesize coded data into themes, summaries, and analytic matrices, and contribute to drafting clinical talking points and manuscript sections.
  • Conduct supporting literature reviews on reproductive health communication, social media, and qualitative methodology.
  • Maintain accurate records and ensure compliance with IRB guidance, TikTok research data use policies, and confidentiality and data-handling protocols (including encrypted University of Michigan Box storage and the 30-day refresh/deletion protocol).
  • Participate in regular research team meetings, coding sessions, and analytic discussions.

Desired Qualifications*
This position is intended for nurse-midwifery / DNP students. No prior research-coding experience is required; the items below are the baseline an applicant must meet to be considered.
  • Current enrollment at a University of Michigan campus (Ann Arbor, Dearborn, or Flint) in an accredited nurse-midwifery or DNP program (or a closely related graduate nursing/midwifery track).
  • A foundational understanding of reproductive healthcare and women's health, consistent with nurse-midwifery training.
  • Demonstrated interest in reproductive rights, reproductive justice, or maternal and reproductive health.
  • Strong reading and listening comprehension and the ability to closely and consistently interpret video and textual content.
  • Strong written and verbal communication skills.
  • Excellent organization, attention to detail, and consistency in following systematic procedures.
  • Ability to work independently, meet deadlines, and collaborate effectively as part of a team.
  • Commitment to research integrity, confidentiality, and ethical conduct.

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
279857
Working Title
RESEARCH ASST I (TEMP) - Qualitative Coding of Medication Abortion Content on TikTok
Job Title
RESEARCH ASST I (TEMP)
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Part-Time
Regular/Temporary
Temporary
FLSA Status
Nonexempt
Organizational Group
Dbn Col Edu Hlt Hs
Department
Dbn CEHHS Health & Human Serv
Posting Begin/End Date
7/10/2026 - 7/24/2026
Salary
$15.00 - $20.00
Career Interest
Temporary Job Opening

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Year founded

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