Remote Computer Vision Researcher Jobs
Remote Computer Vision Researcher jobs are open across the U.S. at remote-first firms and distributed teams building AI-powered products, with strong demand in autonomous systems, healthcare imaging, and robotics. Employers hiring remotely right now include Busigence Technologies, Anduril, and BV Teck. Scan the live roles below and apply to whichever ones fit.
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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 Researcher Job Market
Who's Hiring
Top Industries Hiring
- Manufacturing
What Employers Look For
The qualifications that appear most often in remote computer vision researcher jobs.
- PhD or Master's degree in computer vision, machine learning, or a related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and training convolutional neural networks and transformer architectures
- Demonstrated record of peer-reviewed publications or patents in computer vision
- Hands-on experience with object detection, segmentation, or 3D scene understanding
- Familiarity with model optimization and deployment using ONNX, TensorRT, or similar tools
Tips for Your Remote Computer Vision Researcher Job Search
Apply early to remote roles that fit
Migrate Mate lists remote computer vision researcher openings from across the U.S. in one place. Search for roles that match your stack and experience level and apply directly, since competitive remote openings close fast.
Show your work in a public repository
Remote employers can't see you in action, so your GitHub does that work. Include trained models, annotated datasets you built, and clear documentation that shows how you approach a vision problem from data prep to evaluation.
Write your way into async research cultures
Distributed research teams run on written communication. Practice writing concise technical summaries of your experiments, your methodology decisions, and your results, since remote employers assess your written clarity as a proxy for how you'll collaborate across time zones.
Prepare to demo models live in remote interviews
Many remote computer vision researcher interviews include a live coding or model walkthrough segment over video. Set up a clean local or cloud environment in advance so you can share your screen, run inference, and explain your architectural choices without technical friction.
Remote Computer Vision Researcher Jobs: Frequently Asked Questions
How do I get a remote computer vision researcher job?
Target companies with distributed research teams, particularly those building autonomous vehicles, medical imaging tools, or industrial inspection systems, since these sectors have established remote research cultures. Remote employers screen heavily for self-direction and written communication, so a public GitHub repository, published models, and clear technical writeups carry real weight. Demonstrated proficiency in PyTorch or TensorFlow, plus experience with model deployment, gives you a concrete edge.
Which companies hire remote computer vision researchers?
Employers currently hiring remote computer vision researchers include Busigence Technologies, Anduril, and BV Teck, per current remote listings on Migrate Mate as of November 2026. These tend to be remote-first AI companies, distributed robotics firms, and enterprise software teams building perception and imaging products across healthcare, defense, and autonomous systems.
Can you get a remote computer vision researcher job with no experience?
Yes, but remote entry-level computer vision researcher roles are harder to land because you're expected to work independently from day one with minimal hand-holding. Smaller AI startups and open-source-driven teams are the most accessible entry points. A strong portfolio showing trained models, competition results from Kaggle or similar challenges, and contributed code to public vision projects can substitute for formal job experience.
Do you need a degree for remote computer vision researcher jobs?
Not always, though a graduate degree in computer science, electrical engineering, or a related field is common for research-focused roles. Remote employers increasingly weigh demonstrated skills alongside credentials, so published research, an active GitHub presence, and reproducible project work matter. For applied research or engineering-adjacent roles, a strong portfolio can open doors that a degree alone wouldn't guarantee.
Which industries hire the most remote computer vision researchers?
Most remote computer vision researcher openings sit in Manufacturing, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed research and engineering teams to build and iterate on vision models without requiring on-site lab access.
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