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Remote Open Source Intelligence Jobs in Michigan

... Remote (Open) Location California - Home Teleworkers Additional Locations Alabama - Home ... Conduct market research, competitive intelligence, and opportunity assessments to identify emerging ...

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Proven proficiency with scientific software libraries through research publications, open-source ...

Contributions to open-source AI projects or research publications Key Responsibilities * Technical ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

Powered by the relentless innovation of the open source community, Cloudera advances digital ... Clari), business intelligence tools (e.g., Tableau, Power BI), and SQL is a strong plus.

Senior Software Engineer

Allen Park, MI ยท On-site +1

$113K - $192K/yr

Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into ... remote state management and CI/CD-driven plan/apply workflows. Preferred Qualifications * Master ...

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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Showing results 1-20

Remote Open Source Intelligence information

See Michigan salary details

$39.7K

$91.2K

$125.5K

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

As of Aug 16, 2026, the average yearly pay for remote open source intelligence in Michigan is $91,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $103,300.00 per year, depending on experience, location, and employer.

What is a remote open source intelligence?

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 remote open source intelligence?

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 are the most commonly searched types of Open Source Intelligence jobs in Michigan?

The most popular types of Open Source Intelligence jobs in Michigan are:

What job categories do people searching Remote Open Source Intelligence jobs in Michigan look for?

The top searched job categories for Remote Open Source Intelligence jobs in Michigan are:

What cities in Michigan are hiring for Remote Open Source Intelligence jobs?

Cities in Michigan with the most Remote Open Source Intelligence job openings:

Infographic showing various Remote Open Source Intelligence job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $91,207 per year, or $43.8 per hour.

Computational Mechanics Expert - PhD - AI Trainer

Mercor

Detroit, MI โ€ข Remote

$70 - $85/hr

Full-time

Posted 4 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Structural & Mechanical Engineering Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring skilled use of open-source, domain-specific computational tools like FEniCSx/DOLFINx, OpenFOAM, deal.II, and others.
  • Evaluate AI models by testing them against state-of-the-art benchmarks and refine problems to achieve the desired difficulty.
  • Collaborate with AI research teams to improve problem designs and ensure they test strategic reasoning and problem-solving.
  • Work independently and asynchronously to meet deadlines and refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one of the listed scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor