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Remote Computer Forensics Analyst Jobs in Florida

J.S. Held LLC

Forensic Mechanical Engineer

Miami, FL · On-site +1

$130K - $170K/yr

Analyze the failure of mechanical systems, determine the cause of failures, evaluate the quality of ... Computer skills (including Word, Excel and PowerPoint). * A desire to learn, excel and grow with us ...

House Buyers of America

Valuations Analyst

Tampa, FL · Remote

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... You have amazing computer skills and pick up new technology quickly! Why we are a great place to ...

House Buyers of America

Valuations Analyst

Miami, FL · Remote

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... You have amazing computer skills and pick up new technology quickly! Why we are a great place to ...

House Buyers of America

Valuations Analyst

Orlando, FL · Remote

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... You have amazing computer skills and pick up new technology quickly! Why we are a great place to ...

House Buyers of America

Valuations Analyst

Orlando, FL · Remote

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... You have amazing computer skills and pick up new technology quickly! Why we are a great place to ...

House Buyers of America

Valuations Analyst

Tampa, FL · Remote

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... You have amazing computer skills and pick up new technology quickly! Why we are a great place to ...

House Buyers of America

Valuations Analyst

Miami, FL · Remote

Valuations Analyst- 100% Remote House Buyers of America is looking for a 100% remote Valuations ... You have amazing computer skills and pick up new technology quickly! Why we are a great place to ...

SAIC

Mod Sim Analyst

Orlando, FL · On-site +1

Secret Potential for Remote Work: ORA_ON_SITE Description Join SAIC as a Modeling and Simulation ... Designing, building, and enhancing complex computer models to test, analyze, and optimize aerospace ...

Intermountain Health

$37.87 - $59.63/hr

This includes frequent computer use for typing, accessing needed information, etc. * For roles ... If applying for a remote or hybrid role, this includes remote work expectations related to ...

Imh

Revenue Integrity Analyst II

Lake Park, FL · On-site +1

$37.87 - $59.63/hr

This includes frequent computer use for typing, accessing needed information, etc. * For roles ... If applying for a remote or hybrid role, this includes remote work expectations related to ...

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Remote Computer Forensics Analyst information

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$48.6K

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How much do remote computer forensics analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote computer forensics analyst in Florida is $75,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $91,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote computer forensics analyst?

To excel as a Remote Computer Forensics Analyst, you need expertise in digital investigations, evidence handling, and a strong understanding of operating systems and cybersecurity principles, often supported by a relevant degree or certifications like GIAC, EnCE, or CFCE. Familiarity with forensic analysis tools such as EnCase, FTK, X-Ways, and network monitoring applications is essential. Outstanding analytical thinking, written communication, and attention to detail help professionals stand out, especially when presenting findings or collaborating with remote teams. Mastering these skills ensures accurate forensic investigations, credibility in legal settings, and effective teamwork within a distributed work environment.

What is a remote computer forensics analyst?

A Remote Computer Forensics Analyst is a cybersecurity professional who investigates digital evidence to uncover cybercrimes, data breaches, or unauthorized system access. Working remotely, they analyze compromised devices, recover lost or deleted data, and follow forensic protocols to maintain the integrity of evidence. These professionals often collaborate with law enforcement, businesses, or legal teams to provide investigative reports and expert testimony. Their work requires proficiency in forensic tools, cyber investigation techniques, and a strong understanding of legal procedures related to digital evidence.

What are some of the unique challenges faced by remote computer forensics analysts, and how can they be managed?

Remote Computer Forensics Analysts often encounter challenges such as securing remote access to digital evidence, coordinating across time zones, and maintaining chain-of-custody protocols without direct on-site access. To manage these issues, professionals rely on secure communication channels, advanced remote access software, and strict adherence to documentation and evidence management procedures. Building strong relationships with on-site IT staff and law enforcement partners is also key to ensuring smooth investigations. While these challenges require adaptability, they also offer opportunities to develop highly sought-after technical and collaboration skills in a flexible, remote work environment.

What are the most commonly searched types of Computer Forensics Analyst jobs in Florida? The most popular types of Computer Forensics Analyst jobs in Florida are:
What are popular job titles related to Remote Computer Forensics Analyst jobs in Florida? For Remote Computer Forensics Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Computer Forensics Analyst jobs in Florida look for? The top searched job categories for Remote Computer Forensics Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Computer Forensics Analyst jobs? Cities in Florida with the most Remote Computer Forensics Analyst job openings:
Remote Computer Forensics Analyst jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 29 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