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Remote Computer Vision Engineer Jobs in Atlanta, GA

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Bright Vision Technologies

AI Data Engineer

Cumming, GA · Remote

$100K - $150K/yr

... Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW ... Bachelor's or Master's degree in Computer Science or a related field. * Six or more years of data ...

Experity

Staff Engineer - Full Time - Remote

Atlanta, GA · On-site +1

$121K - $161K/yr

... Vision. * Ownership - All Team Members are eligible for synthetic ownership in Experity upon one ... Bachelor's degree in Computer Science, Software Engineering, or related field of equivalent ...

Lindsay & Brownell

AI Solution Architect

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

... vision of becoming the industry-leading AI-powered professional services firm. What it Means to ... Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field or ...

Eisneramper Llp

AI Solution Architect

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

... vision of becoming the industry-leading AI-powered professional services firm. What it Means to ... Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field or ...

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All JobsComputer Vision Engineer JobsRemote Computer Vision Engineer JobsRemote Computer Vision Engineer Jobs in Atlanta, GA

Remote Computer Vision Engineer information

See Atlanta, GA salary details

$46.6K

$116.9K

$132.2K

How much do remote computer vision engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote computer vision engineer in Atlanta, GA is $116,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in Atlanta, GA? The most popular types of Computer Vision Engineer jobs in Atlanta, GA are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Atlanta, GA? For Remote Computer Vision Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Atlanta, GA look for? The top searched job categories for Remote Computer Vision Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Computer Vision Engineer jobs? Cities near Atlanta, GA with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Atlanta, GA • Remote

$13/hr

Part-time

Posted 13 days ago

Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

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