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Remote Open Source Intelligence Jobs in Massachusetts

Last Call Media is always excited to meet people who share our passion for open source, collaboration, and building digital products. If you have professional experience in your field, are talented ...

Project Lead - Work From Home

Boston, MA ยท On-site +1

  • Medical

  • Retirement

  • PTO

B2C/B2B portal is built with React on an open-source headless CMS framework as-a-backend (Liferay ... Intelligence, ML, Machine Learning, Data Science, Agile, Waterfall, Work From Home, Remote ...

Executive Assistant

Boston, MA ยท Remote

$100K/mo

This is a fully remote position with occasional travel required. RESPONSIBILITIES * Work closely ... You'll get immersed in the prominent technology markets of security and open source software. * We ...

$80K - $100K/yr

This is a fully remote position with occasional travel required. RESPONSIBILITIES * Work closely ... You'll get immersed in the prominent technology markets of security and open source software. * We ...

Executive Assistant

Boston, MA ยท Remote

$80K - $100K/yr

This is a fully remote position with occasional travel required. RESPONSIBILITIES * Work closely ... You'll get immersed in the prominent technology markets of security and open source software. * We ...

AI Data Engineer

Andover, MA ยท Remote

$150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Stay current with AI data infrastructure research and emerging open-source tools. Required ...

Lead Cyber Threat Intelligence Data Architect

Boston, MA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Become a part of our caring community (remote in location) The Lead Intelligence Data Architect ... Evaluate source quality, timeliness, and value to ensure intelligence meets stakeholder needs Use ...

Lead Cyber Threat Intelligence Data Architect

Boston, MA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Become a part of our caring community (remote in location) The Lead Intelligence Data Architect ... Evaluate source quality, timeliness, and value to ensure intelligence meets stakeholder needs Use ...

Showing results 21-40

Remote Open Source Intelligence information

See Massachusetts salary details

$49.7K

$114.3K

$157.3K

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

As of Aug 17, 2026, the average yearly pay for remote open source intelligence in Massachusetts is $114,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $129,400.00 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 Massachusetts?

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

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

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

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

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

Infographic showing various Remote Open Source Intelligence job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $114,284 per year, or $54.9 per hour.

AI Residency Program, Material Science (2026 Cohort)

Lila Sciences

Cambridge, MA โ€ข On-site, Remote

Full-time

Re-posted 22 days ago


Job description

AI Resident - 2026 Cohort

The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.

  • Duration: 6-12 months (extension possible)
  • Start Dates: First hires beginning January 2026, with rolling applications and additional intakes in Summer and Fall 2026
  • Cohort Size: Small group of selected residents
  • Mentorship: Pairing with technical mentors, feedback from cross-functional teams
  • Resources: Access to proprietary datasets, high-performance compute, and Lila's research infrastructure

Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

ย 
Application Requirement:
Please submit yourย resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included.ย 

Your Impact at Lila

The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila's world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required - what matters most is pushing the frontier of scientific discovery.

What You'll Be Building

  • Design and execute independent research projects in AI for materials science
  • Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives
  • Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation
  • Contribute to collaborative team research and co-develop novel approaches to scientific discovery
  • Share findings internally and externally; publications are welcome but not mandatory

What You'll Need to Succeed

  • Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor's, Master's, or PhD)
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch)
  • Experience working with large-scale datasets or simulations
  • Familiarity with modern AI/ML architectures and training techniques
  • Strong research background, demonstrated through publications, thesis work, or open-source projects

Bonus Points For

  • Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations)
  • Familiarity with Bayesian optimization, active learning, or generative models
  • Experience in reinforcement learning or agent-based approaches to scientific reasoning
  • Open-source contributions or collaborative research experience
  • Strong communication and writing skills, especially for conveying complex scientific ideas