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Remote Vision Plus Developer Jobs (NOW HIRING)

Trilon Group

Electrical Engineer (PE)-Remote

Electrical Engineer (PE)-Remote Department: Electrical/Energy Employment Type: Full Time Location ... Benefits include personal time off, paid holidays, medical, dental and vision coverage; plus a ...

Collabera LLC

Archer Developer

Buffalo, NY · Remote

$75 - $85/hr

Remote Role / Buffalo, NY 14203 (Hybrid Preferred) Duration: 05 + Months Contract Role + Extension ... Archer Developer - 5 years plus experience * Archer Saas - 5 years plus experience * Azure ...

Optimize Partners

Senior AEM Developer (Remote)

New York, NY · On-site +1

$59.50 - $78.75/hr

Experience with Cloud Service AEM product is a big plus. What to Expect if Hired: * Be part of a ... Medical, Dental and Vision Health Insurance * Unlimited Paid Time Off * 401K + Employer Match

Wilson Engineers

Electrical Engineer (PE)-Remote

Tempe, AZ · On-site +1

$120K - $170K/yr

... Engineer (PE) to join our Tempe, Arizona office. (This job can be remote.) Essential Duties and ... Benefits include personal time off, paid holidays, medical, dental and vision coverage; plus a ...

Optimize Partners

Senior AEM Developer (Remote)

New York, NY · Remote

$59.50 - $78.75/hr

Experience with Cloud Service AEM product is a big plus. What to Expect if Hired: * Be part of a ... Medical, Dental and Vision Health Insurance * Unlimited Paid Time Off * 401K + Employer Match

Scanifly

Computer Vision Engineer

OR · Remote

$114.10K - $134.60K/yr

Flexible PTO * 100% remote * Medical, Dental, Vision and Life Insurance coverage WHO WE ARE ... Our platform empowers contractors globally to sell, survey, engineer, install and operate home ...

Scanifly

Computer Vision Engineer

$114.10K - $134.60K/yr

Flexible PTO * 100% remote * Medical, Dental, Vision and Life Insurance coverage $120,000 - $130 ... Our platform empowers contractors globally to sell, survey, engineer, install and operate home ...

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How much do remote vision plus developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote vision plus developer in the United States is $66.66, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $85.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Vision Plus Developer, and why are they important?

To thrive as a Remote Vision Plus Developer, you need expertise in COBOL, JCL, Vision Plus modules (CMS, FAS, TRAMS, etc.), and a solid understanding of payment card processing systems, typically backed by a degree in computer science or related field. Familiarity with Vision Plus tools, mainframe environments like IBM z/OS, and experience with SDLC methodologies are essential, with certifications in relevant technologies considered a plus. Strong problem-solving abilities, attention to detail, and effective communication skills are vital for collaborating remotely and resolving complex technical issues. These skills and qualities are crucial for ensuring the reliable development, maintenance, and support of critical financial transaction systems in a distributed work environment.

What are some common challenges faced by Remote Vision Plus Developers when collaborating with global teams?

Remote Vision Plus Developers often collaborate with geographically dispersed teams, which can introduce challenges such as coordinating across different time zones, ensuring clear communication, and maintaining consistent code quality. Effective use of collaboration tools, regular virtual meetings, and thorough documentation help address these issues. Additionally, developers must stay updated on Vision Plus system updates and industry best practices to deliver seamless integration and support to clients worldwide.

What are Remote Vision Plus Developers?

Remote Vision Plus Developers are IT professionals who specialize in developing, maintaining, and supporting applications using the VisionPLUS software platform, a widely used credit card and payment processing system. They work remotely, collaborating with teams or clients from different locations to customize VisionPLUS modules, integrate new features, and troubleshoot issues. Their responsibilities often include coding, testing, debugging, and ensuring compliance with industry standards and security requirements. These developers typically have experience in COBOL, JCL, CICS, and other mainframe technologies. Working remotely allows them to support global clients and adapt to various business needs.
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Remote Vision Plus Developer jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94.70K - $130K/yr

Full-time

Posted 16 days ago

Job description

Satlantis is a leading-edge company specializing in high-performance satellite technology and data processing. We are at the forefront of innovation, developing advanced solutions for Earth observation and space exploration. Join our dynamic team in Gainesville, Florida, and contribute to groundbreaking projects that shape the future of satellite technology. For more information about the company, please visit www.satlantis.com .
Position Summary
We are seeking a highly motivated and experienced Senior Computer Vision Engineer with strong technical leadership to drive Satlantis US's computer vision and imagery understanding initiatives. The ideal candidate combines deep expertise in modern vision systems with pragmatic delivery: you will design, develop, evaluate, and deploy computer vision models and pipelines that operate on large-scale satellite imagery and geospatial data products.
This is a hands-on role where you will own vision workstreams end-to-end-from problem definition and dataset strategy to model development, production deployment, performance optimization, and iteration-while setting engineering standards, mentoring teammates, and partnering closely with engineering, product, and mission teams. You will help ensure our computer vision systems are accurate, robust, scalable, and operationally effective in real-world Earth-observation workflows.
What you'll do:
  • Own your developments. Lead high-impact computer vision initiatives such as segmentation, object detection, classification, image matching, semantic retrieval, change detection, tracking, and anomaly detection over satellite imagery and derived geospatial products, delivering measurable improvements in model quality and operational outcomes.
  • Translate problems into vision systems. Convert customer needs, mission requirements, and research goals into well-scoped computer vision problems, define success metrics and KPIs (e.g. precision/recall, mAP, IoU, F1, latency, throughput, memory footprint), and establish acceptance criteria and validation plans.
  • Design datasets that win. Drive dataset strategy for vision applications, including annotation protocols, tiling and sampling strategies, class balance, hard-negative mining, augmentation policies, domain-shift analysis, and label-quality audits. Establish repeatable dataset versioning and documentation practices.
  • Build robust training and evaluation pipelines. Implement reproducible experimentation, benchmarking, ablation studies, and error-analysis workflows for computer vision models, including geospatially aware evaluation where applicable.
  • Advance model architectures. Develop and improve state-of-the-art computer vision approaches, including CNNs, transformers, encoder-decoder architectures, self-supervised learning, multi-modal fusion, and foundation-model adaptation for remote sensing imagery. Optimize solutions for real operational constraints such as image resolution, viewing conditions, atmospheric noise, and multi-temporal data.
  • Operationalize vision models. Partner with software and platform engineers to productionize vision systems, including model packaging, inference optimization, deployment pipelines, monitoring, drift detection, versioning, rollback strategies, and performance tuning across heterogeneous compute environments.
  • Raise the engineering bar. Set standards for code quality, reproducibility, model validation, benchmarking, documentation, and peer review. Write clear technical design documents and decision memos that align stakeholders and accelerate execution.

Skills and experience (required):
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Remote Sensing, Robotics, or a related field.
  • 3+ years of professional experience in computer vision, machine learning, or applied AI, including delivering vision models into production or operational workflows.
  • Strong proficiency in Python for machine learning and computer vision workflows; ability to write clean, maintainable, and well-tested code.
  • Deep knowledge of computer vision fundamentals, including image representations, feature extraction, geometric reasoning, dense prediction, detection, segmentation, and model evaluation.
  • Hands-on experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow, and practical experience implementing modern vision architectures.
  • Strong understanding of training and inference optimization, including data loading efficiency, batching, mixed precision, model compression, and performance-aware experimentation.
  • Experience working with large-scale imagery or visual datasets and building pipelines that are reliable and reproducible.
  • Strong communication skills, with the ability to explain complex technical trade-offs clearly to cross-functional stakeholders.

Nice to have (preferred)
  • Geospatial / satellite domain experience: GDAL, Rasterio, projections/CRS, tiling strategies, GeoTIFF/COG/NetCDF, STAC/PgSTAC, and geospatial image-quality considerations.
  • Remote-sensing computer vision: experience with multi-spectral or panchromatic imagery, super-resolution, image fusion, orthorectification-aware workflows, and change detection in Earth-observation contexts.
  • Spatiotemporal vision modeling: time-series imagery, temporal fusion, motion/change analysis, event detection, or tracking across repeated satellite captures.
  • MLOps / production AI: model serving, monitoring, experiment tracking (e.g. W&B, MLflow, CometML), orchestration (Airflow, Argo, ZenML), and lifecycle management.
  • Cloud & compute: experience training and running inference on AWS/GCP/Azure and on-prem HPC/cluster environments, including SLURM-managed GPU/CPU fleets and Kubernetes-based infrastructure; strong understanding of containers, distributed training, GPU scheduling, storage/performance bottlenecks, and cost/performance tuning.
  • Foundation models for vision / Earth observation: fine-tuning, embedding extraction, retrieval systems, transfer learning, promptable models, and multimodal representation learning.
  • C++ or performance-oriented deployment experience: OpenCV, ONNX, TensorRT, Triton Inference Server, CUDA optimization, or edge/real-time inference workflows.
  • Familiarity with data governance and quality frameworks, including lineage, validation checks, and dataset documentation.

Work Authorization:
This role will not sponsor any employment visas. Candidates must have and maintain unrestricted legal authorization to work in the U.S. now and in the future, without requiring employer-sponsored visa support.
Location & Work Model:
Full-time, in-person position in Gainesville, Florida. You'll work closely with engineering and business teams on impactful, real-world satellite analytics and AI systems-helping deliver reliable, scalable capabilities that push forward the state of the art in Earth observation.
Why Join Satlantis?
  • Be part of a pioneering company at the forefront of space technology.
  • Work on challenging and impactful projects that have real-world applications.
  • Collaborate with a team of brilliant and passionate engineers and scientists.
  • Competitive salary and benefits package.
  • Opportunity for professional growth and development in a rapidly expanding industry.
  • Enjoy the vibrant community and quality of life in Gainesville, Florida. Learn more at https://www.visitgainesville.com/ .

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