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Computer Vision Remote Jobs in Fairfax, VA (NOW HIRING)

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Bachelor's or Master's degree in Computer Science or a related field. * Six or more years of data ...

... I development, computer vision, metrics, information science, artificial intelligence, and ... The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ...

Salary: 40K - 55K USD 55K - 76K CAD What your impact will be: * Develop, maintain, and enhance GIS ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

Salary: 40K - 55K USD 55K - 76K CAD What your impact will be: * Develop, maintain, and enhance GIS ... Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment

AI Solutions Architect- Federal

Washington, DC · Remote

$71.25 - $94/hr

Build mission-focused demonstrations and proof-of-concept AI applications (computer vision, LLM ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

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Computer Vision Remote information

See Fairfax, VA salary details

$12

$21

$31

How much do computer vision remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for computer vision remote in Fairfax, VA is $21.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.85 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 Fairfax, VA?

The most popular types of Computer Vision jobs in Fairfax, VA are:

What are popular job titles related to Computer Vision Remote jobs in Fairfax, VA?

For Computer Vision Remote jobs in Fairfax, VA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Fairfax, VA look for?

The top searched job categories for Computer Vision Remote jobs in Fairfax, VA are:

What cities near Fairfax, VA are hiring for Computer Vision Remote jobs?

Cities near Fairfax, VA with the most Computer Vision Remote job openings:

Infographic showing various Computer Vision Remote job openings in Fairfax, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $44,333 per year, or $21.3 per hour.

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

ML Data 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 Data Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 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 ML Data Engineer  to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.
 
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.
How to Apply
 Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. 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.