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Remote Open Source Intelligence Jobs in Rahway, NJ

Fuku

Lead Rust Engineer

New York, NY · Remote

$112K - $147K/yr

B ackground in security, developer tooling, or open source projects * C ontributions to the Rust, Go, or TypeScript ecosystems Benefits: * C ompetitive base compensation plus equity * H ealth, dental ...

City of New York

Intelligence Specialist

Manhattan, NY · On-site +1

$103K - $129K/yr

... open competitive Exam No. 5035, and applicants as indicated below will be considered will be ... REMOTE WORK This position may be eligible for remote work up to 2 days per week, pursuant to the ...

City of New York

Intelligence Specialist

Manhattan, NY · On-site +1

$103K - $129K/yr

... open competitive Exam No. 5035, and applicants as indicated below will be considered will be ... REMOTE WORK This position may be eligible for remote work up to 2 days per week, pursuant to the ...

Nvidia

Senior Engineer, Build and DevOps - ADI

New York, NY · On-site +1

$142K - $182K/yr

... Data Intelligence Engineering Operations team, supporting multiple engineering teams working on data science (and adjacent) libraries such as RAPIDS. RAPIDS is the open-source suite for GPU ...

Diagrid, Inc

Enterprise Account Executive

New York, NY · On-site +1

Who We Are: We believe that open-source software, open standards and APIs are the greatest ... This role is remote but the hires must be located in: (1) SF / Bay Area; (2) New York; and/or (3) ...

Turnblock.io

Software Engineer Remote (Web3)

New York, NY · Remote

$200K - $250K/yr

Nodes access this network through open-source gateways and users can access it through the public ... remote work. We built a highly skilled team of business and engineering minds who are working on ...

vCluster Labs

Senior Product Manager

New York, NY · Remote

$170K - $200K/yr

Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated ... Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure ...

vCluster Labs

Sr. Solutions Engineer

New York, NY · Remote

$56.50 - $73/hr

... with a remote-first culture. We give AI Cloud providers and AI factories a hyperscaler-like ... Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure ...

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All JobsOpen Source Intelligence JobsRemote Open Source Intelligence JobsRemote Open Source Intelligence Jobs in Rahway, NJ

Remote Open Source Intelligence information

See Rahway, NJ salary details

$46.2K

$106.2K

$146.2K

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

As of Sep 6, 2026, the average yearly pay for remote open source intelligence in Rahway, NJ is $106,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $120,300.00 per year, depending on experience, location, and employer.

What is a remote open source intelligence?

A Remote Open Source Intelligence (OSINT) job involves gathering, analyzing, and interpreting publicly available information from various online sources to support investigations, security assessments, or business intelligence. OSINT professionals work remotely to collect data from websites, social media, forums, and public records, often using specialized tools and techniques. These roles are common in cybersecurity, law enforcement, corporate security, and competitive intelligence. Strong analytical skills, critical thinking, and knowledge of digital research methods are essential for success in this field.

What are the key skills and qualifications needed to thrive in remote open source intelligence?

To excel as a Remote Open Source Intelligence (OSINT) professional, you need strong analytical skills, expertise in research methodologies, and a background in intelligence or cybersecurity, often supported by relevant degrees or certifications such as GIAC Open Source Intelligence (GOSI) or similar. Familiarity with OSINT tools like Maltego, Shodan, and various data mining or visualization platforms is highly beneficial. Excellent written communication, critical thinking, and discretion are important soft skills for delivering clear and actionable reports in sensitive environments. These competencies ensure you can effectively collect, analyze, and communicate open-source information to support decision-making and mitigate risks in diverse organizational settings.

What are some common challenges faced by remote open source intelligence professionals?

Remote Open Source Intelligence professionals often encounter challenges such as verifying the credibility of vast amounts of publicly available information and staying updated on rapidly evolving online platforms and tools. They must develop effective strategies for filtering out misinformation and protecting their own digital footprints while working online. Additionally, collaborating with cross-functional teams and adapting to the specific intelligence needs of different clients or projects can be demanding but rewarding. Successfully managing these challenges is key to ensuring the intelligence provided is relevant, accurate, and actionable for organizational goals.

What cities near Rahway, NJ are hiring for Remote Open Source Intelligence jobs?

Cities near Rahway, NJ with the most Remote Open Source Intelligence job openings:

Remote Open Source Intelligence jobs near you

Software Engineer- Benchmarking

Office Hours

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Software Engineer, Benchmarking (SF, NYC, or Remote)
About Us
Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. Experts earn income by sharing their knowledge through advisory work, projects, and AI model training. Our platform handles the complexities behind the scenes- screening, compliance, scheduling, and payments-so knowledge sharing stays focused on meaningful insights and real impact.
We're a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products. We are headquartered in San Francisco, with offices in Brooklyn and Bangalore. Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs. We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm.
What we believe
Human knowledge is the world's most valuable asset. And yet, despite being more interconnected than ever, most knowledge still remains stuck in our heads, inaccessible and underutilized. Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.
About the role
We're looking for a Software Engineer to build and run the platform behind our AI model evaluations. You'll work closely with our research team to prepare benchmark datasets, build the pipelines and environments our evaluations run in, and turn results into published output.
Our researchers design the methodology. You'll turn it into systems that run consistently and reproducibly, so results stay comparable across models, agent scaffolds, and time. Evaluations draw on the knowledge domains our expert network covers.
What you'll do
  • Prepare and maintain benchmark datasets: Own the data work behind our benchmarks, including cleaning, preparation, conversion into runnable formats, and ongoing maintenance. Validate that tasks are complete, consistent, and executable, and flag ambiguities that would compromise results.
  • Build and maintain evaluation pipelines: Build the infrastructure that runs evaluations consistently across model APIs and terminal agents, so results are reproducible and comparable.
  • Build evaluation environments: Create lightweight, containerized environments and viewers for tasking and for evaluating model performance on tool use.
  • Support model experiments: Help fine-tune small open-source LLMs and compare baseline against post-training performance.
  • Develop the scoreboard and leaderboard: Build the published views of our results, including model-level, benchmark-level, task-level, domain-level, and rubric-level performance.
  • Build analysis tools: Make it easy to identify recurring failure modes, compare models and agent scaffolds fairly, and track capability improvements and regressions over time.
  • Collaborate: Work closely with researchers and engineers to make sure evaluation data and outputs are accurate, consistent, and well integrated into what we publish.
  • Build tooling for data creation and review: Support expert annotation and data-generation projects by building lightweight HTML viewers and internal tools for task authoring, review, quality control, and structured data collection.
What you bring
  • Solid engineering skills: 4+ years of professional experience building and maintaining complex systems, with strong Python. You write robust, maintainable code and are comfortable diving deep into existing codebases and infrastructure.
  • Data rigor: Experience preparing, cleaning, and maintaining datasets, and the care to make sure two results are genuinely comparable.
  • Comfort with containers and environments: Experience with Docker and building reproducible execution environments.
  • Collaborative: You work well alongside researchers and scientists and can translate their methodology into working systems.

Hands-on experience running AI evaluations, or with frameworks like Harbor, Terminal-Bench, or Inspect, is a strong plus.
Tech Stack
  • Evaluations: Python, model APIs, agent/evaluation frameworks, custom evaluation tooling
  • Models: APIs from the major AI providers, terminal agents, and open-source models via the Hugging Face ecosystem and PyTorch
  • Environments: Docker
  • Publishing: React, Next.js, Tailwind
  • Workflow: GitHub, Slack, Notion, Linear
Bonus Experience
  • Experience fine-tuning or post-training open-source LLMs, or other hands-on machine learning work
  • Experience with agentic, multi-turn, long-context, or tool-use evaluation
  • Experience validating LLM-as-judge or rubric-based grading setups
  • Background or strong interest in a scientific or technical domain
  • Experience building data-heavy dashboards, leaderboards, or visualizations
  • Open-source contributions or published work related to benchmarks and measurement
Benefits + Perks
  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • 401(k)
  • Monthly wellness and fitness stipend
  • Paid time off policy, along with company holidays
  • Annual company off-sites (Tahoe, Mendocino, Mexico City, San Diego, Park City)
  • Parent-friendly policies, remote flexibility, and paid family leave

Pay Transparency Notice
Full-time offers include base salary, equity, and benefits.
Pay range: $160,000-$210,000, based on seniority, relevant experience and location
This role can be fully remote or hybrid out of our SF or NYC offices.
Don't meet every single requirement? Studies have shown that some candidates, especially underrepresented groups such as women and people of color, are less likely to apply to jobs unless they meet every single qualification. At Office Hours we believe in building a diverse and inclusive workplace, so if you're excited about this role but don't meet every qualification in the job description, we still encourage you to apply. You could still be the right candidate for this or other roles at Office Hours!

Apply