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How much do remote red cross jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote red cross in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Remote Red Cross job?

A Remote Red Cross job is a position with the American Red Cross or an affiliated organization that allows employees to work from home or another off-site location. These roles can include customer service, disaster response coordination, health and safety instruction, IT support, or fundraising. Remote workers use digital tools to support the Red Cross’s mission of disaster relief, blood donation, and humanitarian aid. Positions may be full-time, part-time, or volunteer-based, depending on the organization's needs.

What are the typical daily responsibilities of a Remote Red Cross team member?

Daily responsibilities for a Remote Red Cross team member usually include supporting clients affected by emergencies through phone or online communication, coordinating resources and case files, and collaborating with local partners to deliver critical services. You may also be responsible for data entry, maintaining accurate records, and participating in virtual meetings or training sessions. The role often requires flexibility to respond to urgent situations and the ability to manage multiple cases simultaneously. This collaborative and dynamic work environment allows you to make a tangible impact while working from a remote setting.

What are the key skills and qualifications needed to thrive in the Remote Red Cross position, and why are they important?

To excel in a Remote Red Cross role, candidates generally need a background in public health, disaster response, and case management, often supported by a relevant degree or professional experience. Familiarity with virtual communication platforms, data management tools, and Red Cross-specific systems such as RC Care is highly valued. Strong soft skills include empathy, problem-solving, and the ability to work independently while collaborating with diverse teams. These abilities are crucial for providing effective aid, managing sensitive information, and ensuring efficient coordination in remote humanitarian work.

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Remote Red Cross jobs near you
Infographic showing various Remote Red Cross job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 73% Full Time, 15% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Milwaukee, WI • 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.

Apply