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Remote Computer Vision Engineer Jobs in Tennessee

Conflux Systems

Packaging Engineer

Knoxville, TN · On-site +1

$34 - $50/hr

100% Remote, 2 Positions: Knoxville, TN; Seattle, CA Pay: $34 - $50/Hr, 8 AM - 5 PM, Mon to Fri, 12 ... Proficient in Microsoft Office , Adobe products , NX/Teamcenter or 3D CAD tools . * Experience with ...

Ms Technology, Inc

Mechanical Design Engineer

Oak Ridge, TN · On-site +1

$65K - $89K/yr

Remote and/or hybrid Salary Range: Depending on experience Responsibilities * Support system and ... Experience with 3D modeling or CAD tools such as AutoCAD Plant 3D, CADWorx, SolidWorks, CREO, or ...

Hitachi

Applications Engineer II

Nashville, TN · On-site +1

Engineering & Science Job Schedule: Full time Remote: No JR Automation, a Hitachi Group Company ... Proficiency in CAD software (SolidWorks, Creo, CATIA, Visual Components). * Strong working ...

Hitachi Careers

Software Engineer

Knoxville, TN · Remote

This is a remote position but may require occasional travel to a JR Automation or customer facility ... High-end vision system development * Development of internal tools (e.g., specialized CASE tools ...

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Parsons

Senior Bridge Engineer

Brentwood, TN · On-site +1

$86K - $151K/yr

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... While the position would initially be remote, candidates must be based near Nashville, Tennessee.

Humana

Senior Systems Engineer

Nashville, TN · Remote

$100K - $138K/yr

... computer hardware and provides a platform for running end user applications. Includes operating ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

Humana

Senior Systems Engineer

Nashville, TN · Remote

$100K - $138K/yr

... computer hardware and provides a platform for running end user applications. Includes operating ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

Humana

Senior Systems Engineer

Nashville, TN · Remote

$100K - $138K/yr

... computer hardware and provides a platform for running end user applications. Includes operating ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

Actalent

Piping Designer - 100% Remote

Nashville, TN · On-site +1

$25 - $58/hr

Our growing engineering team is seeking an experienced designer who enjoys solving complex design ... Proficiency with AutoCAD and mechanical CAD design * Experience working with P&IDs and piping ...

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Remote Computer Vision Engineer information

See Tennessee salary details

$44K

$110.3K

$124.8K

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

As of Jul 10, 2026, the average yearly pay for remote computer vision engineer in Tennessee is $110,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

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 in the Remote Computer Vision Engineer position, and why are they important?

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 the most commonly searched types of Computer Vision Engineer jobs in Tennessee? The most popular types of Computer Vision Engineer jobs in Tennessee are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Tennessee? For Remote Computer Vision Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Tennessee look for? The top searched job categories for Remote Computer Vision Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Computer Vision Engineer jobs? Cities in Tennessee with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Nashville, TN • 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.

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