ZipRecruiter

Log In

2

Remote Computer Programming Jobs in Florida (NOW HIRING)

AP Recruiters

CAD Technician

Juno Beach, FL · On-site +1

... remote work. This role combines advanced CAD expertise with GIS proficiency, focusing on ArcGIS Field Maps configuration, deployment, and training. You will work directly with engineering and ...

Epiq

Lead Developer

Tampa, FL · Remote

$125K - $155K/yr

Computer Programming * Computer Science * Decision Making * Leadership * Self-Management * Software ... equipment. #LI-Remote #LI-RC1 The Compensation range for this role is $125,000 - $155,000 USD ...

VetsEZ

Backend Engineer (Remote Opportunity)

Miami, FL · On-site +1

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

VetsEZ

Backend Engineer (Remote Opportunity)

Miami, FL · Remote

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

next page

Showing results 1-20

All JobsComputer Programming JobsRemote Computer Programming JobsRemote Computer Programming Jobs in Florida

Remote Computer Programming information

See Florida salary details

$24.7K

$48.6K

$71.4K

How much do remote computer programming jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote computer programming in Florida is $48,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,700.00 and $59,800.00 per year, depending on experience, location, and employer.

What is remote computer programming?

Remote computer programming involves writing, testing, and maintaining software code from a location outside of a traditional office, typically from home or another remote setting. Programmers collaborate with teams using digital tools, version control systems, and communication platforms to build software solutions. This arrangement offers flexibility, but also requires strong communication skills, self-discipline, and familiarity with remote work technologies. Many companies offer remote computer programming positions to access a global talent pool and provide employees with a better work-life balance.

What is the difference between Remote Computer Programming vs Remote Software Development?

AspectRemote Computer ProgrammingRemote Software Development
Required CredentialsTypically requires programming certifications or degrees in computer scienceOften requires similar credentials, with additional experience in software design and architecture
Work EnvironmentPrimarily focused on writing, testing, and debugging codeIncludes coding but also involves planning, designing, and managing software projects
Employer & Industry UsageUsed across tech companies, startups, and freelance platformsCommon in software firms, tech departments, and development agencies
Search & Comparison IntentPeople compare to understand coding roles and skillsPeople compare to grasp broader software project responsibilities

Remote Computer Programming involves writing and testing code, while Remote Software Development encompasses coding along with designing and managing entire software projects. Both roles share similar credentials and work environments but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Computer Programmer, and why are they important?

To thrive as a Remote Computer Programmer, you need strong proficiency in programming languages (such as Python, Java, or JavaScript), problem-solving abilities, and a relevant degree or coding certifications. Familiarity with version control systems (like Git), cloud platforms, and collaboration tools (such as Slack or Jira) is typically required. Excellent communication, self-motivation, and time management skills are crucial for remote collaboration and productivity. These skills and qualities ensure efficient code delivery, effective teamwork, and the ability to meet project goals independently in a remote setting.

What are some common challenges faced by remote computer programmers and how can they be addressed?

Remote computer programmers often encounter challenges related to communication, collaboration, and time management. Without in-person interactions, it can be harder to clarify requirements, coordinate with team members, or stay informed about project updates. To address these challenges, successful remote programmers proactively use collaboration tools, attend regular virtual meetings, and maintain clear, written documentation. Building strong communication habits and setting structured work schedules also help maintain productivity and foster effective teamwork.
What are the most commonly searched types of Computer Programming jobs in Florida? The most popular types of Computer Programming jobs in Florida are:
What are popular job titles related to Remote Computer Programming jobs in Florida? For Remote Computer Programming jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Computer Programming jobs in Florida look for? The top searched job categories for Remote Computer Programming jobs in Florida are:
What cities in Florida are hiring for Remote Computer Programming jobs? Cities in Florida with the most Remote Computer Programming job openings:
Remote Computer Programming jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Posted 2 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/ .

Apply