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Remote Open Source Investigator Jobs (NOW HIRING)

... open-source workflow execution engines that empower scientists to efficiently deploy and manage large-scale computations. General Information * Location: Remote. Open to talents from GMT-8 to GMT+5 ...

Experience conducting open source investigations and/or investigations on behalf of a technology company * Experience with SQL About Meta: Meta builds technologies that help people connect, find ...

Experience conducting open source investigations and/or investigations on behalf of a technology company * Experience with SQL About Meta: Meta builds technologies that help people connect, find ...

Experience conducting open source investigations and/or investigations on behalf of a technology company * Experience with SQL About Meta: Meta builds technologies that help people connect, find ...

Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence * Investigate complex cases to understand how abuse is ...

... teams investigate issues and make decisions-while agents run evaluations, triage failures, and ... While we are a remote-first company, we have opened offices in New York City and the San Francisco ...

Investigator

Washington, DC · Remote

$62K - $78K/yr

The Investigator will use public records and open-source intelligence to pursue rigorous, high ... Remote-first work environment * Medical, dental and vision insurance * Generous paid time off

Query internal data sources using SQL and Python and cross-reference open-source information (OSINT ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Senior Cyber Investigator

Washington, DC · Remote

$114K - $140K/yr

Query internal data sources using SQL and Python and cross-reference open-source information (OSINT ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

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Remote Open Source Investigator information

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$28.5K

$76.6K

$137.5K

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

As of Aug 11, 2026, the average yearly pay for remote open source investigator in the United States is $76,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Open Source Investigator vs Remote Cybersecurity Analyst?

AspectRemote Open Source InvestigatorRemote Cybersecurity Analyst
Required CredentialsCertifications in OSINT tools, investigative techniquesCertifications in cybersecurity, network security
Work EnvironmentPrimarily remote, research-focusedRemote or on-site, security monitoring
Employer & IndustryPrivate investigation firms, intelligence agenciesTech companies, government agencies
Search & Comparison IntentUnderstanding investigative roles in open source researchUnderstanding cybersecurity roles in threat detection

The Remote Open Source Investigator focuses on gathering information from publicly available sources to support investigations, while a Remote Cybersecurity Analyst monitors and protects digital assets from cyber threats. Both roles require technical skills and often work remotely, but they serve different purposes within security and research fields.

What cities are hiring for Remote Open Source Investigator jobs? Cities with the most Remote Open Source Investigator job openings:
What are the most commonly searched types of Open Source Investigator jobs? The most popular types of Open Source Investigator jobs are:
What states have the most Remote Open Source Investigator jobs? States with the most job openings for Remote Open Source Investigator jobs include:
Infographic showing various Remote Open Source Investigator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $76,607 per year, or $36.8 per hour.

Open-Source Machine Learning Engineer - US Remote

Hugging Face

New York, NY • Remote

Full-time

Re-posted 13 days ago


Job description

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.

About the Role

As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.

You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack.

About You

You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, we can't wait to see your application.

What you'll need
  • Strong Python skills, with experience writing clean, well-tested, maintainable library code
  • Deep hands-on experience with a modern deep-learning framework, especially PyTorch (JAX or TensorFlow a plus)
  • Practical experience with the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or comparable ML libraries
  • A public track record of open-source contributions, for example merged pull requests to ML or data libraries, that we can review on GitHub
  • Solid understanding of modern machine learning and deep learning, including transformer architectures
  • Experience collaborating with a technical community in the open (GitHub issues and reviews, forums, Slack or Discord)
  • Fluent written English for asynchronous collaboration across a distributed, global community
Nice to have
  • Experience maintaining an open-source project
  • Prior contributions to Transformers, Datasets, Accelerate, or similar libraries
  • Familiarity with distributed training, inference optimization, or GPU/accelerator performance work
  • Experience training or fine-tuning models at scale
A note on fit

If you're interested in joining us but don't tick every box above, we still encourage you to apply. We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we're happy to consider where you might make the biggest impact.

One more thing

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words “GPU-poor and proud