Remote Computer Vision Engineer Jobs
Remote computer vision engineer jobs are open across the U.S. at remote-first firms and distributed teams building AI-powered products in autonomous systems, robotics, healthcare imaging, and retail analytics. Employers hiring remotely right now include Busigence Technologies, Anduril, and BV Teck. 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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Find JobsRemote Computer Vision Engineer Job Market
Who's Hiring
Top Industries Hiring
- Manufacturing
What Employers Look For
The qualifications that appear most often in remote computer vision engineer jobs.
- Proficiency in Python with deep learning frameworks such as PyTorch or TensorFlow
- Hands-on experience with OpenCV and classical image processing techniques
- Strong understanding of convolutional neural network architectures and object detection models
- Experience deploying models to production environments including cloud or edge hardware
- Familiarity with 3D vision techniques such as point cloud processing or stereo depth estimation
- Bachelor's or master's degree in computer science, electrical engineering, or a related field
Tips for Your Remote Computer Vision Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote computer vision engineer openings from across the U.S. in one place. Search roles by skill set, find the ones that match your experience, and apply directly before competition builds up.
Show your work in a public repository
Remote hiring managers for computer vision roles want to see working code before they talk to you. Publish projects that demonstrate object detection, segmentation, or 3D reconstruction pipelines, with clear documentation and reproducible results using PyTorch or TensorFlow.
Prove you communicate asynchronously
Distributed teams depend on written communication to move work forward across time zones. Document your experiment results, model decisions, and architecture trade-offs in writing, and reference examples of this in your application to signal you can operate without constant meetings.
Highlight cloud deployment experience upfront
Remote computer vision roles frequently require deploying models to AWS, GCP, or Azure without on-site infrastructure support. Lead with any experience packaging models into Docker containers, serving inference through APIs, or running training jobs on cloud GPU instances.
Remote Computer Vision Engineer Jobs: Frequently Asked Questions
How do I get a remote computer vision engineer job?
Target remote-first companies and distributed engineering teams that build AI products, since those employers have the infrastructure to onboard and manage remote engineers from day one. Remote hiring managers screen heavily for self-direction, clear written communication, and the ability to run experiments and ship results without constant oversight. A strong GitHub portfolio with documented computer vision projects, clean code, and reproducible results does more work than a resume alone.
Which companies hire remote computer vision engineers?
Companies hiring remote computer vision engineers right now include Busigence Technologies, Anduril, and BV Teck, based on current remote listings on Migrate Mate as of November 2026. Remote openings for this role concentrate at remote-first AI and robotics startups, computer vision platform companies, and distributed R&D teams in healthcare imaging and autonomous systems.
Can you get a remote computer vision engineer job with no experience?
Yes, but remote entry-level computer vision roles are harder to land because you're expected to work independently from the start with minimal hand-holding. The companies most likely to hire entry-level remote are early-stage startups that prioritize demonstrated skill over credentials. A portfolio of computer vision projects, open-source contributions, and experience deploying models in a cloud environment can substitute for formal experience and open those doors.
Do you need a degree for remote computer vision engineer jobs?
Not always. Many remote employers care far more about your ability to implement and ship computer vision systems than the credentials behind it. What opens doors in this field is a demonstrable command of deep learning frameworks, hands-on experience with model training and deployment pipelines, and a portfolio that shows real results. A degree in computer science or a related field helps with larger companies, but remote-first teams regularly hire engineers based on work product alone.
Which industries hire the most remote computer vision engineers?
The sectors hiring the most remote computer vision engineers are Manufacturing, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed engineering teams to build and maintain computer vision systems, making remote work a natural fit for the role.
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