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Open Source Intelligence Analyst Jobs in Alberta

... open-source math and communication libraries that power artificial intelligence and high ... Provide code quality analyses and work with various teams to address technical debt. * Benchmark ...

... based on intelligence feeds and threat actor analysis. Security Communication & Reporting ... Demonstratedinvolvement in the infosec community (e.g., open-source projects, bugbounties, CVE ...

... based on intelligence feeds and threat actor analysis. Security Communication & Reporting ... Demonstratedinvolvement in the infosec community (e.g., open-source projects, bugbounties, CVE ...

Analyst, Mechanical

Calgary, AB ยท Hybrid

CA$50K - CA$70K/yr

Altus Group has an immediate opening for a Cost Analyst, Mechanical within our Cost Consulting ... Our Altus Intelligence Academy offers over 150,000 hours of learning content. * Flexible work model ...

AI-assisted analytics, search, and generative AI Technologies used vary by team and include ... Evaluate and integrate open-source tools and libraries where they improve the systems you work on

Relevant open-source projects include: THE PERSON: * Possess excellent software skills in Python ... AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.

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Open Source Intelligence Analyst information

See Alberta salary details

$26K

$88.8K

$158K

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

As of Jul 27, 2026, the average yearly pay for open source intelligence analyst in Alberta is $88,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $102,500.00 per year, depending on experience, location, and employer.

Does OSINT pay well?

Open Source Intelligence (OSINT) analysts can earn competitive salaries, especially with experience, specialized skills, and security clearances. Entry-level positions typically start around industry average, while experienced analysts working for government agencies or private firms can earn higher wages, often supplemented by certifications and advanced training.

What are the typical daily responsibilities of an Open Source Intelligence Analyst?

As an Open Source Intelligence Analyst, your daily responsibilities will include monitoring and collecting information from publicly available sources such as news outlets, social media, forums, and government databases. You'll analyze and verify the credibility of data, compile reports, and provide actionable intelligence to internal teams or clients. Collaboration with cybersecurity, risk management, and law enforcement teams is common, ensuring relevant information is integrated into larger security strategies. You may also support incident response efforts and brief stakeholders on emerging threats or trends.

What are the key skills and qualifications needed to thrive in the Open Source Intelligence Analyst position, and why are they important?

To thrive as an Open Source Intelligence Analyst, you need strong analytical skills, attention to detail, and a solid understanding of information gathering and verification, typically supported by a relevant degree in intelligence studies, cybersecurity, or a related field. Experience with technical tools such as Maltego, Palantir, social media monitoring platforms, and certifications like Certified Cyber Intelligence Professional (CCIP) are highly valuable. Excellent critical thinking, written and verbal communication, and the ability to work independently or in teams are important soft skills. These competencies are crucial to accurately collect, assess, and present actionable intelligence from diverse open-source materials in support of organizational goals.

How much do open source intelligence analysts make?

Open Source Intelligence Analysts typically earn between $60,000 and $100,000 annually, depending on experience, location, and security clearance levels. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries, especially in government or private sector roles that require advanced tools and analysis techniques.

What does an Open Source Intelligence Analyst do?

An Open Source Intelligence (OSINT) Analyst collects, analyzes, and interprets publicly available data from sources like social media, news articles, forums, and government reports. They identify threats, investigate persons of interest, or support decision-making for organizations, law enforcement, or national security agencies. OSINT Analysts use specialized tools and techniques to gather, verify, and assess information while ensuring ethical and legal compliance. Their work helps organizations mitigate risks, track emerging trends, and enhance situational awareness.

What does an open source intelligence analyst do?

An open source intelligence analyst collects, evaluates, and analyzes publicly available information from sources such as social media, news outlets, and online databases to support security, intelligence, or investigative efforts. They use tools like data mining and analysis software and often require strong research skills and knowledge of cybersecurity or intelligence methodologies.

Is OSINT in demand?

Open Source Intelligence (OSINT) analysts are increasingly in demand across government agencies, private sector firms, and cybersecurity organizations due to the need for data collection and analysis from publicly available sources. Skills in research, data analysis, and familiarity with tools like Maltego or OSINT frameworks enhance employability in this growing field.
What are popular job titles related to Open Source Intelligence Analyst jobs in Alberta? For Open Source Intelligence Analyst jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Open Source Intelligence Analyst jobs in Alberta look for? The top searched job categories for Open Source Intelligence Analyst jobs in Alberta are:
Infographic showing various Open Source Intelligence Analyst job openings in Alberta as of July 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $88,846 per year, or $42.7 per hour.

Junior Machine Learning Engineer - Alerts Team

Samdesk

Edmonton, AB โ€ข On-site, Remote

Full-time

Posted 12 days ago


Job description

Who We Are

Samdesk is a global disruption monitoring platform delivering real-time crisis alerts 24 hours a day, 365 days a year, powered by AI. We make sense of the world's most valuable real-time data sources with a singular purpose: to create a safer world. Headquartered in Edmonton, Alberta, Canada, with team members distributed around the globe, we work with some of the largest brands in the world - including DoorDash, Meta, Uber, Ford, and NATO. We are a growing team of builders and problem-solvers who are deeply passionate about the products and services we create.


Check us out!
www.samdesk.io


About the Role

The ML Engineer on the Alerts Team plays a pivotal role in the intelligence layer that powers Samdesk's automated alert pipeline - converting raw unstructured text to actionable crisis intelligence. You will own the quality of the output of our data pipeline. What does this mean? You will own the design and implementation of AI agents, orchestrate the interplay between our LLMs and data pipeline, and build the internal tooling that our operations, ML, and product teams rely on daily. You will work at the intersection of large-scale data systems and cutting-edge AI infrastructure, and your decisions will have a direct impact on system reliability and the quality of alerts delivered to users around the world.


This role reports into the Alerts Team and collaborates closely with features, infrastructure, and product teams.


Responsibilities

Model Development & Fine Tuning

  • Design, build, and deploy ML models across the full lifecycle, from designing the ML architecture through error analysis and deployment
  • Fine-tune and adapt LLMs using domain-specific alert data, including dataset curation, supervised fine-tuning, preference optimization, evaluation, and safe production rollout
  • Upgrade models to newer versions, ensuring each new version measurably outperforms the last
  • Work hands-on with Python ML libraries such as PyTorch, TensorFlow, Hugging Face, and XGBoost
  • Collaborate with data and engineering teams to build scalable ML pipelines
  • Contribute to data labeling strategies, feature engineering, and model evaluation frameworks

AI Agent Development & LLM Orchestration

  • Design and implement AI agents that coordinate LLM inference with our real-time data pipeline
  • Build and maintain the orchestration layer governing how language models interact with structured pipeline outputs
  • Integrate with OpenAI and Anthropic APIs, including prompt engineering, tool use, and response handling at scale
  • Ensure agent workflows are observable, testable, and fault-tolerant in production
  • Monitor and report on model performance, drift, and inference latency in production

Technical Excellence

  • Attention to detail and problem-solving aptitude
  • Set the bar for code and model quality through rigorous review of code, experiments, and evaluation results, and through mentorship
  • Champion reproducibility through experiment tracking, versioned datasets, and robust evaluation so models and systems can be safely iterated on
  • Decompose complex requirements into accurate effort estimates


Qualifications & Skills

Required

  • 2+ years of professional experience in a machine learning or applied ML engineering role
  • Familiarity with NLP, text classification, or information retrieval (a strong asset given our domain)
  • Comfort working with large, noisy, real-world datasets
  • Demonstrated experience building and operating AI agents or LLM-powered systems in production
  • Hands-on experience with OpenAI and/or Anthropic APIs, including tool use, streaming, and prompt management
  • Experience evaluating the outputs of ML components (ie precision and recall)

Nice to Have

  • Experience with real-time data pipelines or event-driven architectures
  • Familiarity with LLM evaluation frameworks, observability tooling, or RAG architectures
  • Background in news, media monitoring, or open-source intelligence (OSINT)
  • Solid working knowledge of AWS services (S3, SQS, CloudWatch) and ML infrastructure such as GPU-based inference, or vector databases

You'll Thrive Here If

  • You bring genuine intellectual ownership to the systems you build and think about them when you're not at your desk
  • You have strong opinions, loosely held. You argue for the right solution, not your solution
  • You have a bias towards action and don't require a 'playbook' to get things done.


Samdesk is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.


The position is based out of Edmonton, AB but we may also consider remote candidates. Please note that only candidates selected for the interview process will be contacted. Thank you!