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Computer Forensics Jobs in Tulsa, OK (NOW HIRING)

DataAnnotation

Security Engineer - AI Trainer

Tulsa, OK · Remote

$50 - $100/hr

You work on your own schedule, on your own computer, from the comfort of your own home * Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects * Impact: help ...

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All JobsComputer Forensics JobsComputer Forensics Jobs in Tulsa, OK

Computer Forensics information

See Tulsa, OK salary details

$21.6K

$90.7K

$142.9K

How much do computer forensics jobs pay per year?

As of Jul 7, 2026, the average yearly pay for computer forensics in Tulsa, OK is $90,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,702.00 and $122,198.00 per year, depending on experience, location, and employer.

What can you do with a computer forensics degree?

A computer forensics degree prepares individuals for roles in investigating cybercrimes, analyzing digital evidence, and supporting legal proceedings. Graduates often work as digital forensic analysts, incident responders, or cybersecurity specialists, utilizing tools like EnCase or FTK and obtaining certifications such as GCFA or EnCE to enhance job prospects.

What are some common challenges faced by professionals in computer forensics and how can they be addressed?

Computer forensics professionals often encounter challenges such as dealing with encrypted data, rapidly evolving technology, and maintaining the integrity of digital evidence. Staying current with emerging tools and techniques is crucial, as is meticulous documentation to ensure evidence is admissible in court. Collaboration with law enforcement, legal teams, and IT departments is also essential to overcome technical hurdles and ensure a thorough investigation.

Will AI take over digital forensics?

Computer forensics professionals use AI tools to assist in analyzing large volumes of digital evidence more efficiently. While AI can automate certain tasks, human expertise remains essential for interpretation, decision-making, and handling complex cases in digital forensics.

What is computer forensics?

Computer forensics, also known as digital forensics, is the practice of collecting, analyzing, and preserving digital evidence from computers and other electronic devices. Professionals in this field investigate cybercrimes, recover lost data, and provide evidence for legal cases involving digital information. They use specialized tools and techniques to ensure that the evidence remains authentic and admissible in court. Computer forensics experts often work with law enforcement, government agencies, or private companies to uncover digital footprints and solve technology-related crimes.

What are the key skills and qualifications needed to thrive as a Computer Forensics Specialist, and why are they important?

To thrive as a Computer Forensics Specialist, you need expertise in digital evidence collection, data analysis, and a strong understanding of cybersecurity concepts, often supported by a degree in computer science, cybersecurity, or a related field. Familiarity with forensic tools like EnCase, FTK, and certification such as Certified Computer Examiner (CCE) or GIAC Certified Forensic Analyst (GCFA) is typically required. Analytical thinking, attention to detail, and strong written communication are essential soft skills for accurately interpreting and reporting findings. These skills and qualifications are crucial for ensuring digital evidence is preserved, analyzed, and presented effectively in legal or investigative contexts.

What is the difference between Computer Forensics vs Digital Forensics?

AspectComputer ForensicsDigital Forensics
CertificationsEnCE, GCFAEnCE, GCFA
Work EnvironmentLaw enforcement, corporate security, consultingLaw enforcement, legal, corporate investigations
Industry UsagePrimarily in cybersecurity and law enforcementBroader, including digital crime, legal cases, and incident response

Computer Forensics and Digital Forensics are closely related fields that often overlap. Computer Forensics focuses on analyzing computers and storage devices, while Digital Forensics covers a wider range of digital media and devices. Both roles require similar certifications and are used in law enforcement and corporate settings. The main difference lies in scope: Computer Forensics is more specific to computers, whereas Digital Forensics includes all digital evidence.

Is computer forensics a good career?

Computer forensics is a specialized field within cybersecurity that involves investigating digital crimes and analyzing electronic evidence. It offers strong job growth, competitive salaries, and requires skills in digital tools, programming, and certifications like GCFA or EnCE. The role often involves detailed analysis, report writing, and collaboration with law enforcement or legal teams.

What does a computer forensic do?

A computer forensic professional investigates digital devices to recover, analyze, and preserve electronic evidence for legal or security purposes. They use specialized tools and techniques to examine data, often working closely with law enforcement or legal teams to support investigations and ensure evidence integrity.
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Computer Forensics jobs near you
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Tulsa, OK • Remote

$50 - $90/hr

Part-time

Posted 7 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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