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Remote Risk Engineer Jobs in Dallas, TX (NOW HIRING)

Senior Engineer, Process Validation

Dallas, TX · On-site +1

$100K - $130K/yr

... remote. In this role, you will have the opportunity to: * Design, execute, and summarize ... Drive risk-based approaches using tools such as pFMEA, risk ranking, and criticality assessments ...

Hybrid, 3 days in office, 2 remote Duration : Contract to Hire Years Of Exp Required : 10+ Years ... Mitigating risk Industry background: Regulation or Data background Roles and Responsibilities ...

Hybrid, 3 days in office, 2 remote Duration : Contract to Hire Years Of Exp Required : 10+ Years ... Mitigating risk Industry background: Regulation or Data background Roles and Responsibilities ...

REMOTE - USA TOP SKILLS: Must Have Experience in building and maintaining automated test frameworks ... risk assessments and business requirements validation • Investigate bugs and write clear and ...

Dev Ops Engineer

Dallas, TX · On-site +1

$52.25 - $71.50/hr

Remote (U.S.) About Vehlo: We started Vehlo in 2019 with a simple goal: to be the industry ... Build centralized reporting to provide leadership with visibility into delivery performance, risk ...

Enterprise Endpoint Engineer

Dallas, TX · Remote

$109K - $136K/yr

Define remote access architecture * Support hybrid and cloud workspace models * Ensure scalability ... Aligning with Cybersecurity & Risk teams * Support Zero Trust initiatives * Define hardening ...

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Remote Risk Engineer information

See Dallas, TX salary details

$37.6K

$114.6K

$189.4K

How much do remote risk engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote risk engineer in Dallas, TX is $114,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $149,900.00 per year, depending on experience, location, and employer.

How does a Remote Risk Engineer typically collaborate with cross-functional teams to address potential risks?

As a Remote Risk Engineer, you’ll regularly work with cross-functional teams such as IT, operations, product management, and compliance to identify, assess, and mitigate potential risks. Collaboration often involves virtual meetings, shared documentation, and real-time communication tools to ensure risks are clearly communicated and addressed promptly. You may participate in risk assessments, review system designs, and provide recommendations to enhance security and operational resilience. Building strong relationships and maintaining proactive communication with team members is key to ensuring risks are managed effectively, even when working remotely.

What are the key skills and qualifications needed to thrive as a Remote Risk Engineer, and why are they important?

To thrive as a Remote Risk Engineer, you need a solid background in risk assessment, engineering principles, and relevant degree qualifications such as in engineering or risk management. Familiarity with risk modeling software, data analysis tools, and industry-specific certifications like Certified Risk Engineer (CRE) are often required. Strong analytical thinking, problem-solving, and effective virtual communication skills help you excel when collaborating with clients and remote teams. These capabilities are crucial to accurately identifying risks, designing mitigation strategies, and ensuring the safety and compliance of client operations from a remote environment.

What is the difference between Remote Risk Engineer vs Remote Underwriter?

AspectRemote Risk EngineerRemote Underwriter
Required CredentialsBachelor's in Engineering, Risk Management certificationsBachelor's in Finance, Insurance certifications
Work EnvironmentAnalyzing technical risks, data modelingAssessing insurance applications, policy evaluation
Employer & Industry UsageInsurance, finance, engineering firmsInsurance companies, brokerage firms

Remote Risk Engineers focus on analyzing technical and operational risks using engineering principles, while Remote Underwriters evaluate insurance applications and determine policy terms. Both roles require analytical skills and industry-specific certifications, often working remotely for insurance or risk management companies. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a Remote Risk Engineer?

A Remote Risk Engineer is a professional who evaluates and manages risks for an organization, often related to safety, cybersecurity, or insurance, while working from a remote location. They analyze data, identify potential hazards or vulnerabilities, and recommend solutions to minimize losses or damages. This job typically requires strong analytical skills, knowledge of risk assessment methodologies, and effective communication, as much of the work may involve collaborating virtually with teams and clients. Remote Risk Engineers may specialize in various industries, including finance, manufacturing, or technology.
What are the most commonly searched types of Risk Engineer jobs in Dallas, TX? The most popular types of Risk Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Risk Engineer jobs? Cities near Dallas, TX with the most Remote Risk Engineer job openings:
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Dallas, TX • Remote

$50 - $90/hr

Part-time

Posted 11 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.