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Remote Researcher Jobs in Spring, TX (NOW HIRING)

BairesDev

Account Director - Remote Work

Houston, TX · On-site +1

... market research to identify upselling opportunities and assess customer needs, identify client ... Remote WorkNational Solutions Sales Director - RailSales Director (Oil and Gas Industry) - Remote ...

Dozee

Clinical Research - Intern

Houston, TX · Remote

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive ... Clinical Studies & Research Support * Assist with the planning and execution of clinical studies ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Houston, TX · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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All JobsResearcher JobsRemote Researcher JobsRemote Researcher Jobs in Spring, TX

Remote Researcher information

See Spring, TX salary details

$26.7K

$100.6K

$146.4K

How much do remote researcher jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote researcher in Spring, TX is $100,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $137,000.00 per year, depending on experience, location, and employer.

How do Remote Researchers typically collaborate with team members and stakeholders given the virtual work environment?

Remote Researchers often use a variety of digital collaboration tools, such as video conferencing platforms, project management software, and shared document systems, to stay connected with their teams and stakeholders. Regular virtual meetings, clear communication protocols, and scheduled check-ins help maintain alignment on project goals and timelines. Despite the lack of in-person interaction, successful Remote Researchers proactively share updates, seek feedback, and participate in collaborative brainstorming sessions to ensure their research supports organizational objectives.

How to become a remote researcher?

To become a remote researcher, you typically need a relevant degree in a field such as social sciences, sciences, or data analysis. Strong research skills, proficiency with tools like Excel or statistical software, and good communication abilities are essential. Gaining experience through internships or freelance projects can also improve your chances of securing remote research roles.

How to make $1000 a week remotely?

A remote researcher can earn $1000 a week by combining multiple freelance or contract research projects, leveraging specialized skills, and building a strong client base. Consistent work, efficient time management, and proficiency with research tools or platforms can help achieve this income level. Increasing hourly rates or taking on higher-volume projects also contribute to reaching the target weekly earnings.

Can researchers work remotely?

Remote researchers can work from home or any location with internet access, depending on the employer’s policies. Many research roles, especially in fields like data analysis, literature review, and online surveys, are well-suited for remote work and often require skills in digital tools and communication platforms.

How can I make 2000 a week working from home?

A remote researcher can potentially earn $2,000 a week by combining multiple freelance or contract research projects, leveraging specialized skills, and building a strong client base. High-paying opportunities often require expertise in specific fields, efficient time management, and proficiency with research tools and data analysis software. Consistent income at this level typically involves a combination of multiple income streams and a well-established professional reputation.

What Does a Remote Researcher Do?

As a remote researcher, you work from home to study and research a particular topic. In this field, you may conduct surveys, analyze trends, or access databases of information to help with your analysis of a topic. Remote researcher roles can be found in medical, academic, marketing, legal, finance, or other industries based on the needs of employers. Most remote researchers specialize in a single industry, and often just a single part of that industry. For example, remote financial researchers may pay attention to certain parts of the stock market or focus on finding technology startup investment opportunities.

What are Remote Researchers?

Remote Researchers are professionals who conduct research tasks from a location outside of a traditional office, often working from home or any internet-connected location. They gather, analyze, and interpret information in various fields such as market research, academia, science, or business. Their responsibilities may include designing surveys, reviewing literature, collecting data, and compiling reports. Remote Researchers use digital tools to collaborate with teams and access resources, making this role ideal for individuals seeking flexible work arrangements.

What are the key skills and qualifications needed to thrive as a Remote Researcher, and why are they important?

To thrive as a Remote Researcher, you need strong analytical skills, advanced research methodology knowledge, and typically a relevant degree in your field. Familiarity with data analysis software (such as SPSS, R, or Python), online survey tools, and academic databases is essential. Excellent written communication, self-motivation, and time management are crucial soft skills for producing quality work independently and meeting deadlines. These abilities ensure reliable, insightful research outcomes and effective collaboration in a virtual environment.
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Remote Researcher jobs near you
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Houston, TX • Remote

$50 - $90/hr

Part-time

Posted 13 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. 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. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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