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Remote Image Processing Scientist Jobs in Dallas, TX

This is an excellent long-term, 100% remote contract opportunity for a highly detail-oriented ... Team members use data-driven processes to locate and review images containing defects of interest ...

Senior Data Scientist

Coppell, TX · Remote

$160K - $180K/yr

Senior Data Scientist Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range ... Solid experience with Git-based version control workflows, CI/CD processes, MLOps practices, model ...

Develops andautomatesanalytical processes that can be deployedthroughoutthe organization to solve ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... What we'll bring During your interview process, our team can fill you in on all the details of our ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

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Remote Image Processing Scientist information

See Dallas, TX salary details

$82.6K

$125.7K

$169.2K

How much do remote image processing scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote image processing scientist in Dallas, TX is $125,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $142,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote image processing scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

What is the difference between Remote Image Processing Scientist vs Remote Computer Vision Engineer?

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

What are the key skills and qualifications needed to thrive as a remote image processing scientist, and why are they important?

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is a remote image processing scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.
What are the most commonly searched types of Image Processing Scientist jobs in Dallas, TX? The most popular types of Image Processing Scientist jobs in Dallas, TX are:
What job categories do people searching Remote Image Processing Scientist jobs in Dallas, TX look for? The top searched job categories for Remote Image Processing Scientist jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Image Processing Scientist jobs? Cities near Dallas, TX with the most Remote Image Processing Scientist job openings:
Infographic showing various Remote Image Processing Scientist job openings in Dallas, TX as of August 2026, with employment types broken down into 4% Internship, 77% Full Time, 14% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,663 per year, or $60.4 per hour.

Image Annotator

Thinkfind

Fort Worth, TX • Remote

$22.90/hr

Other

Re-posted 13 days ago


Job description

Job Description This is an excellent long-term, 100% remote contract opportunity for a highly detail-oriented professional. The Image Annotator (also known as a Defect Annotator) is responsible for reviewing and analyzing machine vision-generated images produced by Thor Mountain Systems and making accurate annotations to support the development of defect detection models. This role involves identifying, classifying, and documenting track-related defects and obstruction objects through a simple user interface.

Team members use data-driven processes to locate and review images containing defects of interest, which are maintained within a prioritized project framework supporting a multi-year initiative. The ideal candidate possesses moderate to advanced computer skills, exceptional attention to detail, and a strong sense of responsibility. Previous administrative experience is preferred.

Candidates must be able to work effectively in a team environment, communicate clearly both verbally and in writing, and maintain a professional work ethic while focusing on repetitive image review tasks for extended periods. Duties include reviewing large volumes of images, identifying and classifying obstruction objects and other track-related conditions, making accurate notations, and contributing to the ongoing improvement of machine vision detection systems. This position is expected to be a typical 40-hour work week, with occasional overtime opportunities as business needs require.

*Local candidates are preferred.*