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Remote Open Source Intelligence Jobs in Wethersfield, CT

1 point system

AI/ML Engineer

Hartford, CT · Remote

Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled ... Contributions to open-source AI/ML projects. * A Master's degree.

Oscar Health

Director, Internal Audit

Hartford, CT · Remote

$180K - $236K/yr

This is a remote position, open to candidates who reside in: Hartford, CT. You will be fully remote ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Finalsite

Recruiter

Glastonbury, CT · Remote

$55/hr

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Manage full-cycle recruiting ... Proactively source and engage high-quality candidates rather than relying solely on inbound ...

Finalsite

Recruiter

Glastonbury, CT · On-site +1

$55/hr

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Manage full-cycle recruiting ... Proactively source and engage high-quality candidates rather than relying solely on inbound ...

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All JobsOpen Source Intelligence JobsRemote Open Source Intelligence JobsRemote Open Source Intelligence Jobs in Wethersfield, CT

Remote Open Source Intelligence information

See Wethersfield, CT salary details

$45.5K

$104.6K

$144K

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

As of Aug 24, 2026, the average yearly pay for remote open source intelligence in Wethersfield, CT is $104,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 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 cities near Wethersfield, CT are hiring for Remote Open Source Intelligence jobs?

Cities near Wethersfield, CT with the most Remote Open Source Intelligence job openings:

Remote Open Source Intelligence jobs near you

AI/ML Engineer

1 point system

Hartford, CT • Remote

Contractor

Posted 5 days ago

Job description

Role Overview

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

  • Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
  • Guide the architecture, infrastructure, tools, and processes for AI/ML products.
  • Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
  • Implement GraphRag in AI/ML products deployed to production to improve LLM response.
  • Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
  • Standardize, optimize, and scale products in production environments.
  • Develop rapid prototypes to experiment and evaluate feasibility.
  • Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.

Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.

Technical Skills:

  • Expert-level programming skills in Python/PySpark and Java.
  • Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
  • Experience with public cloud platforms, ideally Azure.
  • Proficiency with containerization and DevSecOps practices.
  • Experience working with semi-structured file formats and NoSQL databases.
  • Understanding of API design, development, and production deployment at scale.
  • Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
  • Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

  • Experience in the healthcare industry.
  • Knowledge of medical terminology and clinical workflows.
  • Contributions to open-source AI/ML projects.
  • A Master's degree.