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Remote Image Reviewer Jobs in Colorado (NOW HIRING)

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

C. 1324b(a)(3). Please review the job details below. Vantor is seeking a highly skilled Algorithm ... Design, develop, and optimize computer vision and image processing algorithms. * Apply advanced ...

The ideal candidate is eager to learn and develop technologies related to image processing, remote ... Participate in code reviews to ensure code quality, maintainability, and best practices.

HIM Scanning Specialist

Pueblo, CO · On-site +1

$19.10 - $24.83/hr

... remote option Summary : Performs clerical duties and technical skills associated with medical ... Market reviews: All UCHealth positions are reviewed annually to ensure UCHealth base pay aligns ...

Senior Digital Designer

Boulder, CO · Remote

$100K - $140K/yr

Support QA by reviewing builds against design intent Responsibilities: UX Collaboration * Adhere to ... visual and layout experimentation, image and asset generation * Strong understanding of ...

Colorado Springs CO 80920 or Remote Exempt: Non-exempt: Compensation & Benefits: $56,485 annually ... Review and analyze branch-level financial data, including commission calculations, to ensure ...

Remote Image Reviewer information

See Colorado salary details

$11

$31

$51

How much do remote image reviewer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote image reviewer in Colorado is $31.42, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $38.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Image Reviewer position, and why are they important?

To thrive as a Remote Image Reviewer, you need strong attention to detail, visual analysis skills, and familiarity with image evaluation standards, often supported by a background in media, design, or a related field. Experience with specialized review software, content management systems, and sometimes basic photo editing tools is typically required. Excellent communication, time management, and adaptability make candidates stand out, especially when collaborating across remote teams. These skills ensure accurate, efficient image assessments and reliable contributions to high-quality visual content standards.

What is a Remote Image Reviewer job?

A Remote Image Reviewer is responsible for evaluating and reviewing images for quality, accuracy, and compliance with company or client guidelines. This role often involves assessing image resolution, composition, and adherence to content policies. Reviewers may work in industries like stock photography, e-commerce, or content moderation. The job is typically performed from home and requires attention to detail, critical thinking, and familiarity with image editing or classification tools.

What are some typical challenges a Remote Image Reviewer might face, and how are they addressed?

A common challenge for Remote Image Reviewers is maintaining concentration and accuracy during repetitive tasks, especially when reviewing large volumes of images each day. To address this, many teams set clear quality guidelines, implement rotating workflows to reduce burnout, and provide regular feedback or training. Remote reviewers also benefit from strong self-discipline and structured routines to manage independent work. Team check-ins and digital collaboration tools help foster communication and support, ensuring consistency and high standards are maintained across the team.

What cities in Colorado are hiring for Remote Image Reviewer jobs? Cities in Colorado with the most Remote Image Reviewer job openings:
Infographic showing various Remote Image Reviewer job openings in Colorado as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $65,361 per year, or $31.4 per hour.

Senior Computer Vision AI/ML Engineer (TS/SCI) {S}

ARKA Group

Aurora, CO • Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

This position is for aSenior Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations. 

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period.  Ask us about the opportunity for flex scheduling if that’s of interest to you. 

Responsibilities:

As a CV AI/ML Engineer, your responsibilities include: 

  • Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing 
  • Analyzing and pre-processing large remote sensing datasets 
  • Researching supervised and unsupervised ATR solutions for remote sensing 
  • Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios 
  • Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights 
  • Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications 
  • Writing technical documentation supporting code, program capabilities and user-guides 

              Required Qualifications:

              • BS in machine learning, computer science, computer vision, mathematics, or relevant fields
              • Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers 
              • Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance 
              • Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV 
              • Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
              • Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers 
              • 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models 
              • Active TS/SCI U.S. Government Security Clearance

                            Preferred Qualifications:

                            • MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields 
                            • Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL) 
                            • Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion 
                            • Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems 
                            • Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR 
                            • Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc. 
                            • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. 
                            • Experience with version control processes and tools for code version control, data version control, and model version control 
                            • Experience with Linux 
                            • Experience with implementing tracking and fusion, and pattern-of-life algorithms 
                            • Experience in application deployment, virtualization, and containerization 
                            • Experience shaping and writing proposals 
                            • Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S. Government Security Clearance

                            Pay Range: $130,000 - $200,000

                            Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

                            The application window will close in 60 days for this position.

                            Location: Aurora, CO

                            Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.

                            What We Offer:

                            • Comprehensive medical/vision/dental insurance packages
                            • Company contributions to qualified HSA accounts
                            • 401k retirement plan with industry leading company contributions
                            • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
                            • 13 paid holidays
                            • Upfront tuition assistance for approved degree programs
                            • Annual bonus program based on company and employee performance
                            • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
                            • 4 weeks paid Parental Leave
                            • Employee assistance program (EAP)

                            EHS/Environmental Requirements:

                            This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

                            Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

                            ITC & Security Clearance Requirements:

                            This position requires an active TS/SCI U.S. Government Security Clearance.

                            Visa Restrictions:

                            No visa sponsorship is available for this position.

                            Pre-employment Screenings:

                            Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.