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Remote Computer Vision Engineer Jobs in Schertz, TX

Dark Wolf Solutions

Google Cloud Engineer

San Antonio, TX · Remote

$50.25 - $67.25/hr

Bachelor's degree in computer science or a related field * 3+ years of experience in cloud ... Experience with DoD/DISA cybersecurity policies This position will be hybrid / remote based out of ...

Ardurra

Aviation Project Engineer

San Antonio, TX · On-site +1

... fully remote position for the right candidate, provided you reside in Texas and are willing to ... Strong computer skills * Excellent communication skills * Ability to lead and mentor existing staff ...

Dunhill Solutions

Cloud Engineer Sr- Secret

San Antonio, TX · On-site +1

$121K - $168K/yr

This position is a remote role to support the Department of Defense (DoD) Active Secret Clearance ... Bachelor's degree in Computer Science, Information Systems Management, Information Technology, or a ...

3B Staffing LLC

Mainframe- Cobol Developer

San Antonio, TX · Remote

$44.50 - $57.25/hr

We have a remote, 18 month contract opportunity for a Mainframe Developer for a client of ours ... Perform other duties as required to support the organization's Vision, Purpose, and Values ...

New

3B Staffing LLC

Mainframe- Cobol Developer

San Antonio, TX · Remote

$44.50 - $57.25/hr

We have a remote, 18 month contract opportunity for a Mainframe Developer for a client of ours ... Perform other duties as required to support the organization's Vision, Purpose, and Values ...

New

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Showing results 21-40

All JobsComputer Vision Engineer JobsRemote Computer Vision Engineer JobsRemote Computer Vision Engineer Jobs in Schertz, TX

Remote Computer Vision Engineer information

See Schertz, TX salary details

$44K

$110.2K

$124.7K

How much do remote computer vision engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote computer vision engineer in Schertz, TX is $110,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $119,200.00 per year, depending on experience, location, and employer.

What is a remote computer vision engineer?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer vision engineer?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are popular job titles related to Remote Computer Vision Engineer jobs in Schertz, TX? For Remote Computer Vision Engineer jobs in Schertz, TX, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Schertz, TX look for? The top searched job categories for Remote Computer Vision Engineer jobs in Schertz, TX are:
What cities near Schertz, TX are hiring for Remote Computer Vision Engineer jobs? Cities near Schertz, TX with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in Schertz, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $110,161 per year, or $53 per hour.

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

San Antonio, TX • Remote

$50 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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.

Apply