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Freelance Open Source Intelligence Jobs in Riverside, CA

Esri

Contract Specialist

Redlands, CA · On-site

Experience with open-source software and open data licensing considerations * Knowledge of privacy, artificial intelligence and security * Work experience using Conga and Salesforce #LI-KH4 #LI ...

Glidewell Dental

Data Engineer II

Irvine, CA · On-site

$105K - $130K/yr

Assists in the definition of business intelligence (BI) strategy within the IT Department ... Experience in an open source language such as Python, Java, PHP, or Ruby. * Minimum one (1) year of ...

Esri

Sr. Application Security Engineer

Redlands, CA · On-site

$93K - $157K/yr

... intellectual property and sensitive data against a variety of complex threats with support from all ... test, and open-source security findings * Demonstrated experience determining risk based on ...

Acra Lending

AI Engineer

Irvine, CA · On-site

... intelligence, NLP, computer vision, and decision support. • Integrate AI systems with LOS ... OpenAI, Anthropic, open-source LLMs, Hugging Face • Automation: n8n, UiPath, Zapier, Make, Apache ...

Viant Technology

Staff Cloud Reliability Engineer

Irvine, CA · On-site

$180K - $200K/yr

... open source and closed sources tools. The ideal candidate will possess a deep understanding of ... Viant uniquely combines proprietary content intelligence, household-level identity resolution, and ...

Esri

Contract Specialist

Redlands, CA · On-site

$70K - $106K/yr

Experience with open-source software and open data licensing considerations * Knowledge of privacy, artificial intelligence and security * Work experience using Conga and Salesforce #LI-KH4 #LI ...

acralending

AI Engineer

Irvine, CA · On-site

Evaluate and deploy emerging AI technologies for document intelligence, NLP, computer vision, and ... OpenAI, Anthropic, open-source LLMs, Hugging Face * Automation: n8n, UiPath, Zapier, Make, Apache ...

acralending

AI Engineer

Irvine, CA

Evaluate and deploy emerging AI technologies for document intelligence, NLP, computer vision, and ... OpenAI, Anthropic, open-source LLMs, Hugging Face * Automation: n8n, UiPath, Zapier, Make, Apache ...

VSolvit

JUNIOR FULL STACK DEVELOPER

Norco, CA · On-site

$25 - $41/hr

Personal, academic, or open-source development projects. Company Summary Join the VSolvit Team ... intelligence (BI) systems, data warehousing, engineering services, and custom database and ...

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All JobsOpen Source Intelligence JobsFreelance Open Source Intelligence JobsFreelance Open Source Intelligence Jobs in Riverside, CA

Freelance Open Source Intelligence information

See Riverside, CA salary details

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How much do freelance open source intelligence jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for freelance open source intelligence in Riverside, CA is $23.96, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $19.57 per hour, depending on experience, location, and employer.

What are some common challenges freelance open source intelligence professionals face when working independently?

Freelance OSINT professionals often encounter challenges such as managing multiple client expectations, staying updated with rapidly evolving tools and techniques, and ensuring the ethical and legal use of open-source data. Unlike those working within larger organizations, freelancers may have limited access to premium resources or collaborative support, making self-motivation and continuous learning essential. Building a strong professional network and maintaining high standards of data security are also critical for long-term success in this field.

What is a freelance open source intelligence professional?

A Freelance Open Source Intelligence (OSINT) professional is an independent contractor who specializes in gathering, analyzing, and reporting publicly available information from online and offline sources. They use various tools and techniques to collect data from websites, social media, public records, and other open sources to support investigations, risk assessments, or research projects. Freelance OSINT experts often work with clients such as businesses, journalists, law enforcement agencies, or private individuals who need accurate and timely information for decision-making or security purposes.

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

To thrive as a Freelance Open Source Intelligence Analyst, you need strong analytical skills, proficiency in internet research, and a solid understanding of information security and privacy principles. Familiarity with OSINT tools such as Maltego, Recon-ng, and advanced search techniques, as well as relevant certifications like GIAC Cyber Threat Intelligence (GCTI), is typically expected. Attention to detail, critical thinking, and effective communication are crucial soft skills for synthesizing findings and presenting actionable intelligence. These skills ensure the ability to collect, verify, and report accurate intelligence while maintaining ethical standards and meeting client needs.

What is the difference between Freelance Open Source Intelligence vs Freelance Cybersecurity Analyst?

AspectFreelance Open Source IntelligenceFreelance Cybersecurity Analyst
CredentialsRelevant certifications like OSINT certifications, cybersecurity basicsCertifications such as CISSP, CEH, or CompTIA Security+
Work EnvironmentRemote, project-based, research-focusedRemote or on-site, security monitoring and analysis
Industry UsageIntelligence agencies, private firms, consultingIT firms, corporations, government agencies
Search & Comparison IntentUnderstanding open source research skillsAssessing security vulnerabilities and threats

While both roles involve technical expertise, Freelance Open Source Intelligence focuses on gathering and analyzing publicly available information, whereas Freelance Cybersecurity Analysts specialize in protecting systems from threats. The two roles often overlap but serve different primary objectives in the security and intelligence landscape.

What are the most commonly searched types of Open Source Intelligence jobs in Riverside, CA? The most popular types of Open Source Intelligence jobs in Riverside, CA are:
What are popular job titles related to Freelance Open Source Intelligence jobs in Riverside, CA? For Freelance Open Source Intelligence jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Freelance Open Source Intelligence jobs in Riverside, CA look for? The top searched job categories for Freelance Open Source Intelligence jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Freelance Open Source Intelligence jobs? Cities near Riverside, CA with the most Freelance Open Source Intelligence job openings:
Freelance Open Source Intelligence jobs near you
Infographic showing various Freelance Open Source Intelligence job openings in Riverside, CA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $49,839 per year, or $24 per hour.

Agentic AI/ML Engineer, Multimodal

FieldAI

Irvine, CA

Full-time

Re-posted 16 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com.
 
About the Job
 
Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As an AI/ML Engineer on the FiFM team, you will drive research and model development for one of Field AI's most ambitious initiatives. Your work will span computer vision, vision-language models (VLMs), multimodal scene understanding, and long-memory video analysis and search, with a strong emphasis on agentic AI (tool use, memory, multimodal retrieval-augmented generation).This is a full-cycle ML role: you'll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It's a blend of applied research and engineering, requiring creativity, rapid experimentation, and rigorous problem-solving. While FiFM is your primary focus, you'll also contribute to broader perception and insight-generation initiatives across Field AI.
What You'll Get To Do:
  • Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration.
  • Track state-of-the-art research, adapt novel algorithms, and integrate them into FiFM.
  • Curate datasets and develop tools to improve model interpretability.
  • Build scalable evaluation pipelines for vision and multimodal models.
  • Contribute to model observability, drift detection, and error classification.
  • Fine-tune and optimize open-source VLMs and multimodal embedding models for efficiency and robustness.
  • Build and optimize Multi-VectorRAG pipelines with vector DBs and knowledge graphs.
  • Create embedding-based memory and retrieval chains with token-efficient chunking strategies.
What You Have:
  • Master's/Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience.
  • 2+ years of industry experience or relevant publications in CV/ML/AI.
  • Strong expertise in computer vision, video understanding, temporal modeling, and VLMs.
  • Proficiency in Python and PyTorch with production-level coding skills.
  • Experience building pipelines for large-scale video/image datasets.
  • Familiarity with AWS or other cloud platforms for ML training and deployment.
  • Understanding of MLOps best practices (CI/CD, experiment tracking).
  • Hands-on experience fine-tuning open-source multimodal models using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA.
  • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization.
  • Ability to design scalable evaluation pipelines for vision/VLMs and agent performance.
The Extras That Set You Apart:
  • Experience with Agentic/RAG pipelines and knowledge graphs (LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, Pinecone).
  • Familiarity with agent operations logging and evaluation frameworks.
  • Background in optimization: token cost reduction, chunking strategies, reranking, and retrieval latency tuning.
  • Experience deploying models under quantized (int4/int8) and distributed multi-GPU inference.
  • Exposure to open-vocabulary detection, zero/few-shot learning, multimodal RAG.
  • Knowledge of temporal-spatial modeling (event/scene graphs).
  • Experience deploying AI in edge or resource-constrained environments.
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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