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Work From Home Open Source Intelligence Jobs (NOW HIRING)

Vantor

The All-Source Fusion Analyst will leverage information from intelligence sources including open-source intelligence (OSINT), geospatial intelligence (GEOINT), political-military assessments ...

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Work From Home Open Source Intelligence information

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How much do work from home open source intelligence jobs pay per year?

As of Sep 15, 2026, the average yearly pay for work from home open source intelligence in the United States is $98,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a work from home open source intelligence job?

A Work From Home Open Source Intelligence (OSINT) job involves gathering, analyzing, and reporting information that is publicly available online to support organizations in areas such as security, investigations, or business intelligence. OSINT professionals use various online tools and resources to collect data from websites, social media, news outlets, and public records, all from a remote location. These roles require strong analytical skills, attention to detail, and a good understanding of internet research techniques. Working remotely allows OSINT specialists to access information globally while maintaining flexibility in their work environment.

What are the key skills and qualifications needed to thrive as a work from home open source intelligence analyst?

To thrive as a Work From Home Open Source Intelligence Analyst, you need strong analytical skills, proficiency in online research, and a solid understanding of information security or intelligence analysis, often supported by a relevant degree or prior experience. Familiarity with OSINT tools such as Maltego, Shodan, and advanced search techniques, as well as certifications like GIAC Open Source Intelligence (GOSI), is typically required. Excellent critical thinking, attention to detail, and effective written communication are crucial soft skills for synthesizing findings and conveying actionable intelligence. These abilities are essential for accurately gathering, assessing, and reporting public information to support informed decision-making in security, business, or investigative contexts.

What are some common challenges faced by individuals in work-from-home open source intelligence roles?

One common challenge in work-from-home open source intelligence (OSINT) roles is managing information overload, as analysts often sift through vast amounts of online data to identify relevant intelligence. Staying up-to-date with evolving tools and techniques is also essential, as the digital landscape changes rapidly. Additionally, remote OSINT professionals need strong self-discipline and time management skills to maintain productivity and meet deadlines without direct supervision. Collaboration with team members often occurs virtually, so clear communication and proficiency with collaboration platforms are important for success.

What cities are hiring for Work From Home Open Source Intelligence jobs?

Cities with the most Work From Home Open Source Intelligence job openings:

What states have the most Work From Home Open Source Intelligence jobs?

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Infographic showing various Work From Home Open Source Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $98,618 per year, or $47.4 per hour.

Applied AI Engineer, Work From Home

San Francisco, CA • Remote

Parallel Partners
See more jobs at Parallel Partnersexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

Job description

Job Description

Applied AI Engineer, Work From Home

We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows.  The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys.  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems.  We have multiple openings for this position.  This position is 100% Remote.

Applied AI Engineer Responsibilities:

- Build AI-powered product features integrated into real insurance workflows.

- Design and optimize LLM-based interactions across customer and internal systems.

- Develop prompts, reasoning flows, and structured AI outputs for production use cases.

- Evaluate model performance using real-world data, feedback loops, and experiments.

- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.

- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.

- Design and implement AI-driven automation features (chat, recommendations, decision support).

- Analyze user behavior and model responses to continuously improve AI performance.

- Collaborate with product, design, and engineering teams to ship end-to-end AI features.

- Contribute to AI system design decisions focused on usability and real-world impact.

Applied AI Engineer Outcomes

- AI features are reliable, consistent, and production-ready across workflows.

- User-facing AI interactions are intuitive and improve task completion rates.

- Model outputs are measurable, testable, and continuously improving.

- AI-driven automation reduces manual work in insurance processes.

- Product teams can safely deploy AI features with controlled behavior.

Qualifications

Applied AI Engineer Qualifications:

- Strong software engineering background in production environments.

- Experience working with LLMs (OpenAI, Anthropic, or open-source models).

- Familiarity with prompt engineering, structured outputs, and tool use patterns.

- Experience building or integrating AI features into real products.

- Strong understanding of API-based system integration.

- Ability to evaluate AI outputs critically using data and user feedback.

- Experience with experimentation, A/B testing, or evaluation frameworks.

- Strong product sense and focus on user experience.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Applied AI Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Applied AI Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

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