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Computer Vision Remote Jobs in Avondale, AZ (NOW HIRING)

ML Security Engineer

Phoenix, AZ · Remote

$100K - $150K/yr

ML Security Engineer- Remote Bright Vision Technologies is a technology consulting and software ... Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related discipline. * Six or ...

... with computer software such as Microsoft Outlook and Adobe * Investigative, curious and problem ... Medical, Vision, and Dental Insurance * 401k Retirement Plan * 3.5 Weeks Paid Time Off plus 7 paid ...

... with CAD integrations * Experience with GIS integrations * Broader ServiceNow architecture or ... vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth ...

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Computer Vision Remote information

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How much do computer vision remote jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computer vision remote in Avondale, AZ is $20.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $22.79 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are the most commonly searched types of Computer Vision jobs in Avondale, AZ? The most popular types of Computer Vision jobs in Avondale, AZ are:
What are popular job titles related to Computer Vision Remote jobs in Avondale, AZ? For Computer Vision Remote jobs in Avondale, AZ, the most frequently searched job titles are:
What job categories do people searching Computer Vision Remote jobs in Avondale, AZ look for? The top searched job categories for Computer Vision Remote jobs in Avondale, AZ are:
What cities near Avondale, AZ are hiring for Computer Vision Remote jobs? Cities near Avondale, AZ with the most Computer Vision Remote job openings:
Infographic showing various Computer Vision Remote job openings in Avondale, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $42,376 per year, or $20.4 per hour.

$100K - $150K/yr

Full-time

Posted 7 days ago


Job description

ML Security Engineer- Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Security Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. 
Key Responsibilities 
  • Define and implement security controls specifically targeting LLM and AI-powered application risks. 
  • Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns. 
  • Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints. 
  • Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. 
  • Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. 
  • Design controls for sensitive data handling, retention, and redaction in LLM workflows. 
  • Lead red-team exercises against AI systems and drive remediation of identified weaknesses. 
  • Evaluate and harden third-party AI services and open-source AI components used internally. 
  • Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services. 
  • Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. 
  • Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations. 
  • Develop monitoring, logging, and detection strategies tailored to AI workloads. 
  • Lead incident response for AI-specific security events and drive durable improvements. 
  • Stay current with adversarial ML, LLM security research, and emerging regulatory developments. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline. 
  • Six or more years of security engineering experience, including significant work on AI or ML systems. 
  • Strong understanding of LLM internals, modern AI architectures, and common failure modes. 
  • Hands-on experience designing security controls for AI-powered applications. 
  • Deep knowledge of application security, identity, and cryptography fundamentals. 
  • Experience with threat modeling and security architecture review processes. 
  • Familiarity with adversarial ML, prompt injection, and model abuse research. 
  • Proficiency in Python and at least one systems language. 
  • Strong understanding of cloud security and modern infrastructure controls. 
  • Excellent written and verbal communication skills. 
Preferred Qualifications 
  • Publications, talks, or CTF participation in AI security topics. 
  • Experience with red-teaming LLM-based products. 
  • Familiarity with privacy-preserving ML techniques such as differential privacy. 
  • Exposure to regulated industries with strict data handling requirements. 
  • Open-source contributions to AI security tooling
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.