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Remote Osint Jobs in Alberta (NOW HIRING)

Remote Osint information

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$26K

$89.3K

$169K

How much do remote osint jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote osint in Alberta is $89,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a Remote OSINT?

A Remote OSINT (Open-Source Intelligence) job involves gathering, analyzing, and interpreting publicly available data from online sources to support investigative, security, or business intelligence needs. Professionals in this role use specialized tools and techniques to collect information from websites, social media, public records, and other digital sources while working remotely. These jobs are common in cybersecurity, law enforcement, journalism, and corporate security. Strong analytical skills, attention to detail, and knowledge of data privacy and ethical guidelines are essential.

What does a Remote OSINT do?

A Remote OSINT professional’s day often includes researching and compiling publicly available information from websites, social media, forums, and databases to support investigations or assessments. You may analyze digital footprints, create comprehensive reports, and collaborate with other security or intelligence team members via virtual meetings and secure communication platforms. Tasks frequently involve verifying the credibility of sources, monitoring trends or emerging threats, and responding to ad-hoc intelligence requests. The role requires excellent time management and self-motivation, as you’ll be working independently while delivering timely and actionable insights.

What are the key skills and qualifications needed to thrive in the Remote OSINT position?

To thrive as a Remote OSINT (Open Source Intelligence) professional, you need a strong foundation in research, data analysis, and investigative techniques, often supported by relevant experience or degrees in cybersecurity, criminal justice, or intelligence. Familiarity with open-source intelligence tools like Maltego, Shodan, and various social media analysis platforms, as well as certifications such as SANS SEC487 or similar, is highly valued. Outstanding soft skills include curiosity, attention to detail, and strong ethical judgment, along with effective written communication. These abilities are crucial for efficiently gathering, validating, and reporting actionable intelligence from publicly available sources in a remote work setting.

What are popular job titles related to Remote Osint jobs in Alberta?

For Remote Osint jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Remote Osint jobs in Alberta look for?

The top searched job categories for Remote Osint jobs in Alberta are:

Infographic showing various Remote Osint job openings in Alberta as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,340 per year, or $43 per hour.

Junior Machine Learning Engineer - Alerts Team

Samdesk

Edmonton, AB • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


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!