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Remote Unique Learning System Jobs in Naperville, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... systems meeting latency and throughput requirements Work with large-scale pathology datasets to ...

AO Globe Life

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Remote Sales Account Representative (Entry Level)

Chicago, IL · Remote

$60K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Sales Account Representative (Entry Level) IMPORTANT: Applicants must have a residential ... Are comfortable learning new systems and sales processes * Take feedback well and apply what you ...

New

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Remote Inside Sales Representative - Entry Level

Chicago, IL · Remote

$60K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote Inside Sales Representative - Entry Level RESIDENCY REQUIREMENT: Applicants must currently ... Comfortable learning new systems and processes Previous experience in sales, customer service ...

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Remote Unique Learning System information

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How much do remote unique learning system jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote unique learning system in Naperville, IL is $37.23, according to ZipRecruiter salary data. Most workers in this role earn between $28.08 and $46.83 per hour, depending on experience, location, and employer.

What is a remote Unique Learning System specialist?

A Remote Unique Learning System specialist is an educator or support professional who uses the Unique Learning System (ULS), an online curriculum specifically designed for students with special needs, to teach or assist students remotely. They adapt lessons, provide instructional support, and monitor student progress using the ULS platform from a remote location. This role often involves collaborating with other educators, supporting families, and ensuring that students receive individualized instruction that meets their learning goals, all through virtual tools.

What are the key skills and qualifications needed to thrive as a remote Unique Learning System specialist?

To thrive as a Remote Unique Learning System Specialist, you need a solid background in special education, instructional design, and familiarity with curriculum adaptation, typically supported by a degree in education or a related field. Expertise in using the Unique Learning System platform, as well as proficiency with virtual classroom tools and assistive technologies, is essential. Strong communication, patience, and problem-solving skills help in effectively supporting students, teachers, and parents remotely. These skills are crucial for delivering personalized, accessible educational experiences and ensuring student success in a virtual learning environment.

What are some common challenges faced when working remotely as an educator using the Unique Learning System, and how can they be managed?

Educators using the Unique Learning System (ULS) remotely often face challenges like maintaining student engagement, adapting lesson plans for virtual delivery, and ensuring accessibility for diverse learners. To overcome these, it's helpful to utilize ULS’s interactive digital resources, set clear communication channels with students and caregivers, and regularly collaborate with support staff and therapists. Scheduling consistent check-ins and leveraging ULS’s progress monitoring tools also ensures that students' needs are met effectively, even from a distance.

What is the difference between Remote Unique Learning System vs Remote Special Education Teacher?

AspectRemote Unique Learning SystemRemote Special Education Teacher
Required CredentialsSpecialized training in learning systems, certifications in educational technologyState teaching certification, special education credentials
Work EnvironmentOnline platform, remote, often project-basedRemote classroom, virtual teaching via video conferencing
Employer & Industry UsageEdTech companies, online learning providersSchool districts, educational institutions
Common Search & ComparisonYesYes

The Remote Unique Learning System focuses on implementing specialized educational technology solutions, often within online platforms, requiring tech-specific certifications. In contrast, a Remote Special Education Teacher provides direct instruction and support to students with disabilities, typically holding teaching credentials. Both roles are remote but differ in credentials, work environment, and industry usage, catering to different aspects of education.

What are popular job titles related to Remote Unique Learning System jobs in Naperville, IL?

For Remote Unique Learning System jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Remote Unique Learning System jobs in Naperville, IL look for?

The top searched job categories for Remote Unique Learning System jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Unique Learning System jobs?

Cities near Naperville, IL with the most Remote Unique Learning System job openings:

Remote Unique Learning System jobs near you
Infographic showing various Remote Unique Learning System job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $77,430 per year, or $37.2 per hour.

Senior Machine Learning Engineer

Career Renew

Chicago, IL • Remote

$165K - $225K/yr

Full-time

Re-posted 25 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.