2

Remote Open Source Intelligence Jobs in Texas (NOW HIRING)

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... and open source developments, decide what to adopt. Must-Have Qualifications: - 10+ years of ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

About Lumenci Founded in 2018, Lumenci is a premier intellectual property consulting firm ... Remote, US-based * Location: Candidates may be located anywhere in the United States, subject to ...

Hands-on experience with enterprise GIS platforms such as Esri ArcGIS Enterprise or open-source ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Hands-on experience with enterprise GIS platforms such as Esri ArcGIS Enterprise or open-source ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

$100K - $175K/yr

Founded by the engineers behind Milvus, the world's most popular open-source vector database, the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Staff Engineering Manager (Remote - US)

TX · On-site +1

$225K - $300K/yr

REMOTE Anticipated Start Date: 08/03/2026 The US base salary range for this full-time position is ... Experience building enterprise products leveraging open-source platform and infrastructure ...

Showing results 41-60

Remote Open Source Intelligence information

See Texas salary details

$42.4K

$97.5K

$134.2K

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

As of Jul 29, 2026, the average yearly pay for remote open source intelligence in Texas is $97,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $110,400.00 per year, depending on experience, location, and employer.

What is a Remote Open Source Intelligence job?

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 the Remote Open Source Intelligence position, and why are they important?

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 are the most commonly searched types of Open Source Intelligence jobs in Texas? The most popular types of Open Source Intelligence jobs in Texas are:
What cities in Texas are hiring for Remote Open Source Intelligence jobs? Cities in Texas with the most Remote Open Source Intelligence job openings:
Infographic showing various Remote Open Source Intelligence job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $97,492 per year, or $46.9 per hour.

Copy of Senior Python Developer (AI Evaluation & Benchmarking)

Lifted, an Upwork Company™

Texas City, TX • Remote

$80 - $100/hr

Contractor

Posted 29 days ago


Job description

Company Description

An enterprise client is seeking experienced Senior Python Developers to help build the next generation of Artificial Intelligence systems. This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment.

The selected consultants will contribute to AI research by designing programming benchmarks, evaluating AI-generated code, and helping improve the performance, reasoning, and reliability of frontier AI models. This is an excellent opportunity for experienced software engineers who enjoy solving complex technical problems while contributing to the future of Generative AI.

Job Description

This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects.

What You'll Do:

  • Design and develop coding benchmarks used to evaluate frontier AI models.
  • Analyze AI-generated code for correctness, reliability, efficiency, and edge cases.Build and maintain scalable data pipelines that support AI evaluation workflows.
  • Create structured programming scenarios to test reasoning, debugging, and code quality.
  • Work with large codebases and multi-language software environments.
  • Collaborate with teams focused on improving how AI models understand, generate, and evaluate software.
  • Write clean, maintainable, and well-tested Python code following software engineering best practices.
Qualifications

Requirements:

  • 4+ years of professional software engineering experience (required).
  • Expert-level proficiency in Python.
  • Experience working at a high-growth technology company or top-tier software organization.
  • Proficiency in at least one additional programming language such as JavaScript, Go, C++, or similar.
  • Experience with CI/CD pipelines and automated testing frameworks such as pytest, Mocha, or JUnit.
  • Strong understanding of software engineering best practices, debugging, and code quality.
  • Excellent analytical and problem-solving skills.

Nice to Haves:

  • Experience with AI/ML evaluation, model benchmarking, or Generative AI.
  • Background in security engineering.
  • Significant contributions to open-source software projects.
  • Experience working with large-scale distributed systems or enterprise software platforms.
Additional Information
  • Fully remote contract opportunity.
  • Compensation ranges from $80-$100 USD per hour.
  • Expected workload is 10-39 hours per week, depending on project needs.
  • Weekly payments for approved work completed during the previous week.
  • Work volume may fluctuate throughout the duration of the engagement.

Hiring Process:

  • Submit your proposal.
  • Complete a short qualification form provided by the client.
  • Qualified candidates will receive an Upwork contract offer and onboarding instructions.
  • After accepting the contract, candidates will gain access to the client's evaluation.
  • Candidates who successfully pass the evaluation will be invited to a technical interview with the client.