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Remote Space Science Jobs in Florida (NOW HIRING)

CurifyLabs

Senior Marketing Specialist

Jacksonville, FL · On-site +1

$69K - $86K/yr

S. compounding pharmacy space to lead how CurifyLabs shows up in the market. You'll own the ... science into clear, compelling stories that speak directly to pharmacists, pharmacy owners, and the ...

ITrade STEM

Cyber Security Intern

Fort Lauderdale, FL · Remote

At ITRADE STEM, we help create jobs and support the future of industries like space, technology ... Bachelor's degree in Computer Science, Cybersecurity, or related field * 0-2 years experience in ...

CrowdMSP

Recruitment Business Partner

Tampa, FL · Remote

... Digital Space, Healthcare & Life Sciences, Media and Hi-tech, Energy & Utilities, Retail, Public ... The role could be based out of office or remote from anywhere within Pecific Region. Tags: Business ...

Atos

TECHNICAL ENGINEER

Boca Raton, FL · On-site +1

... scientific and technological excellence. Across the world, the Group enables its customers and ... space. Position: Cloud DevOps Engineer Location: Boca Raton preferred or Remote Type: Fulltime We ...

Notably

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

Background in AI, NLP, or data science. * Proactive and strong verbal and written communication ... This is a fully remote position, however, candidates must either be based out of Europe (our ...

Notably

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

Background in AI, NLP, or data science. * Proactive and strong verbal and written communication ... This is a fully remote position, however, candidates must either be based out of Europe (our ...

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Remote Space Science information

What is the difference between Remote Space Science vs Remote Astrophysics?

AspectRemote Space ScienceRemote Astrophysics
Required CredentialsBachelor's or higher in space science, physics, or related fields; often requires research experienceBachelor's or higher in physics, astronomy, or astrophysics; strong analytical skills needed
Work EnvironmentResearch institutions, space agencies, universities; primarily remote with occasional fieldworkAcademic and research settings, observatories, space agencies; mostly remote with data analysis focus
Employer & Industry UsageNASA, ESA, private space companies, universitiesNASA, academic institutions, research labs, observatories

Remote Space Science and Remote Astrophysics share similar educational backgrounds and work environments, often involving research and data analysis for space-related projects. However, Remote Space Science tends to have a broader focus on space exploration and technology, while Remote Astrophysics concentrates more on understanding celestial phenomena. Both roles are vital in advancing our knowledge of the universe and are frequently searched for by professionals interested in space research careers.

How do remote space science professionals typically collaborate with research teams and mission control centers?

Remote space science professionals often work closely with multidisciplinary teams, including scientists, engineers, and mission operators, primarily through digital communication tools such as video conferencing, shared data platforms, and project management software. Collaboration is crucial for tasks like analyzing data from remote instruments, coordinating observation schedules, and troubleshooting technical issues. Regular virtual meetings and real-time messaging ensure that remote team members remain aligned with ongoing mission objectives and can contribute effectively from any location. This structure allows for flexible work arrangements while maintaining high levels of teamwork and information flow.

What is a remote space scientist?

A remote space scientist is a professional who studies space, celestial bodies, and related phenomena while working from a location outside of traditional research institutions or laboratories. They typically use data from satellites, telescopes, and other remote sensing equipment to conduct research, analyze findings, and collaborate with teams virtually. This role often involves tasks such as analyzing astronomical data, developing models, and publishing scientific research, all of which can be done remotely thanks to advancements in technology and data accessibility. Remote space scientists may work for universities, government agencies, or private companies. The flexibility of remote work allows them to contribute to space science from virtually anywhere in the world.

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

To thrive as a Remote Space Scientist, you need a strong background in physics, astronomy, or planetary science, often supported by an advanced degree such as a master's or Ph.D. and research experience. Familiarity with remote sensing software, data analysis tools (like MATLAB or Python), and satellite imaging systems is typically required. Critical thinking, problem-solving, and effective collaboration are vital soft skills for interpreting complex data and working with multidisciplinary teams remotely. These skills and qualifications are crucial for advancing scientific understanding and ensuring high-quality research in the evolving field of space science.
What are the most commonly searched types of Space Science jobs in Florida? The most popular types of Space Science jobs in Florida are:
What are popular job titles related to Remote Space Science jobs in Florida? For Remote Space Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Space Science jobs in Florida look for? The top searched job categories for Remote Space Science jobs in Florida are:
What cities in Florida are hiring for Remote Space Science jobs? Cities in Florida with the most Remote Space Science job openings:
Remote Space Science jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Posted yesterday

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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