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Remote Open Source Intelligence Jobs in Inkster, MI

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... fully remote candidates, with periodic travel expected for company retreats and key on-site ... Contributions to open-source ML infrastructure projects Salary Range: $170,000 to $210,000 base ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

... fully remote candidates, with periodic travel expected for company retreats and key on-site ... Contributions to open-source ML infrastructure projects Salary Range: $170,000 to $210,000 base ...

Bisnow

Commercial Mortgage Broker

Detroit, MI · Remote

$120K - $300K/yr

Commercial Mortgage Broker (Fully Remote) Compensation: 100% Commission \u007C Independent ... Source and negotiate optimal debt and equity solutions across a wide range of capital products

Bisnow

Commercial Mortgage Broker

Detroit, MI · Remote

$120K - $300K/yr

Commercial Mortgage Broker (Fully Remote) Compensation: 100% Commission | Independent Contractor ... Source and negotiate optimal debt and equity solutions across a wide range of capital products

Belle, LLC

Senior Product Engineer

Detroit, MI · Remote

As these issues arise, a team of remote nurses coordinate care with other healthcare providers ... A side project, an open-source contribution, a tool that scratched your own itch. Tell us what it ...

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All JobsRemote Open Source Intelligence JobsRemote Open Source Intelligence Jobs in Inkster, MI

Remote Open Source Intelligence information

See Inkster, MI salary details

$42.6K

$97.9K

$134.8K

How much do remote open source intelligence jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote open source intelligence in Inkster, MI is $97,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,900.00 per year, depending on experience, location, and employer.

What is a Remote Open Source Intelligence job?

A Remote Open Source Intelligence (OSINT) job involves gathering, analyzing, and interpreting publicly available information from various online sources to support investigations, security assessments, or business intelligence. OSINT professionals work remotely to collect data from websites, social media, forums, and public records, often using specialized tools and techniques. These roles are common in cybersecurity, law enforcement, corporate security, and competitive intelligence. Strong analytical skills, critical thinking, and knowledge of digital research methods are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Remote Open Source Intelligence position, and why are they important?

To excel as a Remote Open Source Intelligence (OSINT) professional, you need strong analytical skills, expertise in research methodologies, and a background in intelligence or cybersecurity, often supported by relevant degrees or certifications such as GIAC Open Source Intelligence (GOSI) or similar. Familiarity with OSINT tools like Maltego, Shodan, and various data mining or visualization platforms is highly beneficial. Excellent written communication, critical thinking, and discretion are important soft skills for delivering clear and actionable reports in sensitive environments. These competencies ensure you can effectively collect, analyze, and communicate open-source information to support decision-making and mitigate risks in diverse organizational settings.

What are some common challenges faced by Remote Open Source Intelligence professionals?

Remote Open Source Intelligence professionals often encounter challenges such as verifying the credibility of vast amounts of publicly available information and staying updated on rapidly evolving online platforms and tools. They must develop effective strategies for filtering out misinformation and protecting their own digital footprints while working online. Additionally, collaborating with cross-functional teams and adapting to the specific intelligence needs of different clients or projects can be demanding but rewarding. Successfully managing these challenges is key to ensuring the intelligence provided is relevant, accurate, and actionable for organizational goals.

What cities near Inkster, MI are hiring for Remote Open Source Intelligence jobs? Cities near Inkster, MI with the most Remote Open Source Intelligence job openings:
Remote Open Source Intelligence jobs near you
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Detroit, MI • Remote

$50 - $90/hr

Part-time

Posted 6 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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