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Home Based Vision Engineer Jobs in Dallas, TX (NOW HIRING)

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Home Based Vision Engineer information

See Dallas, TX salary details

$43.5K

$105.2K

$171.6K

How much do home based vision engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for home based vision engineer in Dallas, TX is $105,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $131,100.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Vision Engineer vs Remote Vision Specialist?

AspectHome Based Vision EngineerRemote Vision Specialist
Required CredentialsBachelor's in Vision Science or related field, certifications in ophthalmic technologySimilar certifications, often with additional focus on telehealth tools
Work EnvironmentHome office setup, often with client or lab interactionPrimarily remote, using telecommunication tools, minimal in-person contact
Employer & Industry UsageOptometry clinics, vision care companies, telehealth providersTelehealth platforms, vision care companies, remote diagnostics services

Both roles involve remote work with a focus on vision-related tasks, but Home Based Vision Engineers often have more hands-on equipment interaction, while Remote Vision Specialists focus on remote diagnostics and consultations. The choice depends on the specific job responsibilities and required certifications.

Home Based Vision Engineer jobs near you

Computer Vision Engineer

Texas State Library and Archives Commision

Richardson, TX • On-site

$101K - $119K/yr

Full-time

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

Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.

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