Remote Vision Engineer Jobs
Remote vision engineer jobs are actively hiring across the U.S. at remote-first firms and distributed engineering teams building computer vision systems, robotics, and autonomous technologies. Companies like Curotec, Anduril, and BV Teck are among those posting remote openings right now across sectors including automotive, defense, and software. See the openings below and apply to the ones that match your experience.
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Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Job Title: Computer Vision Engineer
Location: Remote
Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]
Salary Range: $115,000–$165,000 Annually
Experience Required: 5+ years
Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.
Job Summary
Bright Vision Technologies is seeking a Computer Vision Engineer to develop image and video analysis solutions for enterprise applications. The engineer will prepare visual datasets, build and evaluate computer vision models, optimize inference workflows, and collaborate with software and data teams to integrate reliable visual intelligence into production systems.
Key Responsibilities
Develop computer vision pipelines for image classification, object detection, segmentation, or visual inspection use cases.
Prepare, annotate, validate, and augment image or video datasets for model development.
Train, fine-tune, and evaluate models using appropriate architectures and task-specific metrics.
Optimize model inference for accuracy, throughput, latency, and deployment constraints.
Integrate vision models into APIs, batch workflows, or edge/application environments and document model performance.
Required Qualifications
Experience Required: typically 5+ years in computer vision, machine learning, or image-processing engineering; align with the approved requisition.
Strong Python programming and experience with OpenCV and image-processing workflows.
Hands-on knowledge of PyTorch or TensorFlow for developing or fine-tuning vision models.
Understanding of image classification, object detection, segmentation, data augmentation, and evaluation metrics.
Experience preparing and analyzing image or video datasets and diagnosing model performance issues.
Working knowledge of model deployment, REST APIs, Git, and software testing practices.
Strong analytical, debugging, experimentation, and communication skills.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.
Preferred Qualifications
Experience with YOLO, Detectron2, torchvision, or comparable computer vision frameworks.
Exposure to GPU inference optimization, ONNX, TensorRT, or edge deployment.
Familiarity with cloud ML platforms, data labeling workflows, and model monitoring.
Relevant computer vision, machine learning, or cloud certification.
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 Jennifer 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.
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Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Job Title: Computer Vision Engineer
Location: Remote
Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]
Salary Range: $115,000–$165,000 Annually
Experience Required: 5+ years
Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.
Job Summary
Bright Vision Technologies is seeking a Computer Vision Engineer to develop image and video analysis solutions for enterprise applications. The engineer will prepare visual datasets, build and evaluate computer vision models, optimize inference workflows, and collaborate with software and data teams to integrate reliable visual intelligence into production systems.
Key Responsibilities
Develop computer vision pipelines for image classification, object detection, segmentation, or visual inspection use cases.
Prepare, annotate, validate, and augment image or video datasets for model development.
Train, fine-tune, and evaluate models using appropriate architectures and task-specific metrics.
Optimize model inference for accuracy, throughput, latency, and deployment constraints.
Integrate vision models into APIs, batch workflows, or edge/application environments and document model performance.
Required Qualifications
Experience Required: typically 5+ years in computer vision, machine learning, or image-processing engineering; align with the approved requisition.
Strong Python programming and experience with OpenCV and image-processing workflows.
Hands-on knowledge of PyTorch or TensorFlow for developing or fine-tuning vision models.
Understanding of image classification, object detection, segmentation, data augmentation, and evaluation metrics.
Experience preparing and analyzing image or video datasets and diagnosing model performance issues.
Working knowledge of model deployment, REST APIs, Git, and software testing practices.
Strong analytical, debugging, experimentation, and communication skills.
Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.
Preferred Qualifications
Experience with YOLO, Detectron2, torchvision, or comparable computer vision frameworks.
Exposure to GPU inference optimization, ONNX, TensorRT, or edge deployment.
Familiarity with cloud ML platforms, data labeling workflows, and model monitoring.
Relevant computer vision, machine learning, or cloud certification.
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 Jennifer 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.
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See All 9 Remote Vision Engineer Jobs
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Find Remote Vision Engineer JobsRemote Vision Engineer Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote vision engineer jobs.
- Bachelor's or master's degree in computer science, electrical engineering, or a related field
- Proficiency in Python and C++ for real-time computer vision applications
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with OpenCV and standard image processing algorithms
- Experience deploying vision models on edge hardware or embedded systems
- Knowledge of camera calibration, stereo vision, or sensor fusion techniques
Tips for Your Remote Vision Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote vision engineer openings from across the U.S. in one place so you can find roles matching your stack and apply directly. Remote postings at smaller firms fill fast, so checking regularly and applying early puts you ahead.
Show your vision work publicly
Host computer vision projects on GitHub with clear READMEs explaining your approach, dataset choices, and results. Remote hiring managers review code before interviews, and a well-documented repository demonstrates both your technical depth and your ability to communicate asynchronously.
Prove you work well asynchronously
Remote vision engineer teams rely on written communication for code reviews, design discussions, and debugging sessions. Mention specific async tools you've used, like pull request workflows or technical documentation you've authored, to signal you won't need constant synchronous oversight.
Target remote-first robotics and AI firms
Remote-first companies building autonomous systems, medical imaging tools, or industrial inspection software have embedded remote work into their engineering culture. These employers are more likely to have the tooling, processes, and expectations that make remote vision engineering sustainable long-term.
Remote Vision Engineer Jobs: Frequently Asked Questions
How do I get a remote vision engineer job?
Target remote-first companies and distributed engineering teams that build computer vision pipelines, robotics software, or autonomous systems, as these employers hire vision engineers remotely most consistently. Remote employers screen for strong Python or C++ skills, hands-on experience with OpenCV or deep learning frameworks, and clear written communication because code reviews and technical discussions happen asynchronously. A public GitHub repository with computer vision projects gives you a concrete edge over candidates who can only describe their work.
Which companies hire remote vision engineers?
Remote vision engineer roles are posted by Curotec, Anduril, and BV Teck and others right now, based on current remote listings on Migrate Mate as of November 2026. These range from remote-first robotics and autonomous vehicle companies to distributed software firms building machine learning infrastructure.
Can you get a remote vision engineer job with no experience?
Yes, but remote entry-level vision engineer roles are harder to land because you're expected to work independently without on-site mentorship from day one. Companies most likely to hire entry-level remotely include smaller AI startups and open-source-driven firms. You can substitute direct experience with a strong project portfolio, contributions to computer vision open-source repositories, and demonstrated ability to document and communicate your technical decisions clearly.
Do you need a degree for remote vision engineer jobs?
Not always. Many remote employers care more about demonstrated skills in computer vision, image processing, and machine learning than a specific credential. A portfolio showing real deployed projects, proficiency with frameworks like PyTorch or TensorFlow, and a history of independent technical problem-solving can carry more weight than a degree title, especially at startups and product-focused engineering teams.
See All 9 Remote Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Vision Engineer Jobs