ZipRecruiter

Log In

2

Remote Image Analysis Jobs (NOW HIRING)

Tread Athletics

Data Support Internship

Remote Hours: Part-time Please note that this a remote, part-time, unpaid internship Description ... The tasks include, but are not limited to, clipping video and tagging image locations. Interns will ...

Apex Informatics

Senior It Analyst/Programmer

$45.50 - $61.75/hr

REMOTE Scope: With appropriate training from unit technical staff, resource will perform daily ... the Image Management Systems unit. Requirements: -Significant experience in systems analysis ...

DivIHN

Cloud/AI Developer (Remote)

$57.50 - $78.75/hr

Build and maintain image processing pipelines, including validation, transformation, metadata ... analysis and preventative fixes. * Ensure applications meet security standards and applicable ...

previous page

Showing results 41-60

All Jobsremote JobsRemote Image Analysis Jobs

Remote Image Analysis information

See salary details

$15

$27

$41

How much do remote image analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote image analysis in the United States is $27.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $29.81 per hour, depending on experience, location, and employer.

What is remote image analysis?

Remote image analysis is the process of examining and interpreting images from a distance, often using specialized software and cloud-based platforms. Professionals in this field analyze images from sources such as satellites, drones, medical imaging devices, or security cameras to extract useful information without being physically present. This approach allows for efficient data processing, real-time collaboration, and accessibility from anywhere with an internet connection. Remote image analysis is commonly used in industries like healthcare, agriculture, environmental monitoring, and security.

What are some common challenges faced in a remote image analysis role, and how can they be addressed?

One common challenge in remote image analysis is maintaining effective communication with team members and project stakeholders, as collaboration often relies on digital platforms. Additionally, handling large datasets and ensuring secure data transfer can be technically demanding in a remote setup. To address these issues, professionals should become proficient with collaborative tools (such as Slack, Zoom, or project management software) and follow best practices for data security and version control. Regular check-ins and clear documentation also help ensure smooth workflow and minimize misunderstandings.

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

To thrive as a Remote Image Analyst, you need a solid background in image processing, pattern recognition, and a relevant degree in fields like computer science or engineering. Familiarity with software such as MATLAB, Python (with libraries like OpenCV), and GIS platforms is typically required, along with certifications in data analysis or remote sensing. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting images and sharing findings with stakeholders. These skills ensure accurate data interpretation, support decision-making, and enable seamless collaboration in remote work environments.

What is the difference between Remote Image Analysis vs Remote Data Annotation?

AspectRemote Image AnalysisRemote Data Annotation
Primary FocusInterpreting and analyzing images to extract meaningful informationLabeling and tagging data to prepare datasets for machine learning
Required SkillsImage recognition, pattern analysis, attention to detailData labeling, understanding of annotation tools, accuracy
Work EnvironmentRemote, often flexible hours, tech-focusedRemote, collaborative platforms, tech and communication skills
Industry UsageHealthcare, security, autonomous vehiclesAI, machine learning, computer vision projects

Remote Image Analysis involves interpreting images to extract insights, often requiring specialized visual skills. Remote Data Annotation focuses on labeling data to train AI models, emphasizing accuracy and consistency. Both roles are remote, industry-specific, and essential for AI development, but they differ in their core tasks and skill sets.

More about Remote Image Analysis jobs

What cities are hiring for Remote Image Analysis jobs?

Cities with the most Remote Image Analysis job openings:

What are the most commonly searched types of Image Analysis jobs?

The most popular types of Image Analysis jobs are:

What states have the most Remote Image Analysis jobs?

States with the most job openings for Remote Image Analysis jobs include:

What job categories do people searching Remote Image Analysis jobs look for?

The top searched job categories for Remote Image Analysis jobs are:

Remote Image Analysis jobs near you
Infographic showing various Remote Image Analysis job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $58,107 per year, or $27.9 per hour.

Clinical Director of Digital Pathology

NeoGenomics Laboratories

Aliso Viejo, CA • On-site, Remote

Full-time

Posted 23 days ago

NeoGenomics rating

8.0

Company rating: 8.0 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

48th of 120 rated laboratories

Job description

Description
Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.
We offer a comprehensive and competitive compensation package designed to support long-term professional success. This includes a strong base salary complemented by equity participation through a long-term incentive program and annual bonus. Physicians benefit from a generous time off and reimbursement for state licensing fees and may provide sign-on and relocation assistance where applicable. This structure reflects a commitment to clinical excellence, professional growth, and overall physician well-being.
NeoGenomics is looking for a Clinical Director of Digital Pathology who wants to learn to continue to learn in order to allow our company to grow. This position can be onsite in Aliso Viejo, CA or remote with frequent travel to various laboratory sites.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:
As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.
Position Summary:
As the Clinical Director of Digital Pathology you are a physician leader responsible for advancing the clinical strategy, adoption, and utilization of digital pathology technologies across the organization. Serving as the primary medical subject matter expert, you will partner closely with the Enterprise Head of Digital Pathology and cross-functional stakeholders to support innovation, clinical excellence, regulatory compliance, and the integration of digital pathology and AI-enabled solutions with in NeoGenomics' Medical Services. In this role you will also serve as a staff pathologist providing diagnostic interpretation and clinical expertise in support of high-quality pathology services.
Responsibilities:
  • Provide clinical leadership and inform strategic direction for digital pathology initiatives, including technology selection, implementation, scaling, and continuous improvement
  • Serve as the primary medical expert for digital pathology platforms, image analysis tools, and AI-enabled diagnostic applications
  • Partner with the Enterprise Head of Digital Pathology to align clinical priorities with enterprise digital pathology strategy, implementation, and adoption efforts
  • Provide medical leadership and direct support of validation and verification studies for digital pathology systems and AI tools
  • Evaluate, validate, and support the clinical deployment of emerging digital pathology and AI/ML technologies
  • In collaboration with Quality and Regulatory teams and site laboratory directors, ensure compliance with relevant regulatory requirements
  • Collaborate with Product, R&D, Business Development, Informatics, and Digital Transformation teams to drive innovation and support the digital pathology roadmap
  • Partner with IT teams to ensure robust system integration, interoperability, cybersecurity, and data integrity
  • Guide the clinical adoption of digital workflows, including change management, training, and performance monitoring
  • Serve as a clinical liaison for external collaborators, including academic partners, industry partners, and regulatory bodies
  • Interact with our clients for pre-analytical, analytical, and post-analytical questions
  • Perform diagnostic interpretation of biopsy and/or cytology material to include gross and microscopic evaluation, dictation and electronic release of reviewed cases
  • Read and interpret laboratory data
  • Perform quality control and assurance procedures and participate in departmental professional quality control and quality assurance activities
  • Work closely with clinical and administrative staff to ensure the highest standards of TAT, quality, and customer service are maintained
  • Provide expertise and assistance to technologists and technicians to resolve case issues
  • Build effective relationships with referring physicians and ensure excellent client follow-up
  • Assist in developing new testing services based on medical/scientific advances and patient/client needs

Education, Experience & Qualifications:
  • M.D. or D.O degree and board certification in Anatomic Pathology or Anatomic and Clinical Pathology required
  • Active unrestricted Medical License to practice in the state of CA or FL and state of residency with a willingness to obtain additional licenses as requested
  • Ability to fulfill CLIA '88 if required
  • Fellowship training in clinical/pathology informatics preferred
  • Minimum of 3 years of post-training experience in digital and computational pathology, including hands-on experience with whole-slide imaging platforms and image management systems
  • Minimum of 3 years of experience in a clinical and/or reference laboratory environment
  • Demonstrated expertise with image analysis software and AI/ML applications in pathology
  • Proven track record in validation, implementation, and clinical deployment of digital pathology and AI tools
  • Strong background in pathology informatics; fellowship training in clinical informatics or pathology informatics preferred
  • Proven track record as a productive member of a multi-disciplinary team, including a demonstrated ability to work collaboratively with peers in a matrixed, cross-functional healthcare environment
  • Record of obtaining required information related to identifying needs and potential solutions, analyzing or improvising the most appropriate solution, and determining and documenting the most appropriate course of action
  • Experience using an automated laboratory information system (LIS) which features online transcription and reporting, and electronic signature
  • Superior communication, collaboration, business and clinical judgment, emphasis on turnaround time, and organizational development skills are essential for success
  • Ability to manage competing priorities in a fast-paced, high-volume environment

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

What NeoGenomics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply