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Remote Wine Label Design Jobs in Florida (NOW HIRING)

Worklio

Product Manager (U.S. Payroll - Remote)

Tampa, FL · Remote

$115K - $145K/yr

About Worklio Worklio is an infrastructure provider of embedded and white-label payroll, HR, and ... Role Overview As a Product Manager at Worklio, you will own the design, development, and delivery ...

PNC Bank

Head of Sales, Linga

Naples, FL · On-site +1

... label partners Design and implement partner programs, incentives, and enablement frameworks. Drive ... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ...

Aprio

Lead Engineer (Azure)

Fort Lauderdale, FL · On-site +1

$98K - $132K/yr

Purview, DLP, Sensitivity Labels, DSPM * Cloud Security : Azure Defender for Cloud, security ... design and implementation of Microsoft Azure security tools. * Deep understanding of core ...

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Remote Wine Label Design information

What is remote wine label design?

Remote wine label design is the process of creating distinctive and appealing wine bottle labels while working from a location outside of a traditional office or winery, typically from home or a freelance setting. Designers collaborate with clients, such as wineries or wine distributors, using digital tools to conceptualize, revise, and finalize label artwork. This role often includes market research, understanding regulatory requirements, and ensuring the label reflects the brand’s identity, all done via online communication and file sharing. Remote wine label designers use graphic design software to produce label layouts that are both legally compliant and visually attractive to consumers.

What is the difference between Remote Wine Label Design vs Remote Graphic Designer?

AspectRemote Wine Label DesignRemote Graphic Designer
CredentialsDesign skills, branding knowledge, wine industry familiarityDesign skills, portfolio, sometimes specific software proficiency
Work EnvironmentHome-based, wine industry clients, branding projectsHome-based, various industries, diverse design projects
Industry UsagePrimarily wine and beverage companiesMultiple industries including advertising, publishing, tech
Search & Comparison IntentFocus on wine branding, label design jobsGeneral graphic design roles across industries

Remote Wine Label Design specializes in creating visual labels specifically for wine bottles, requiring industry-specific branding knowledge. Remote Graphic Designer covers a broader range of design projects across multiple industries. While both roles require strong design skills and software proficiency, wine label designers focus on branding within the beverage sector, making their work more niche compared to the versatile scope of graphic designers.

What are some common challenges faced when working remotely as a wine label designer, and how can they be managed?

Remote wine label designers often face challenges such as limited in-person collaboration with clients and team members, which can make it difficult to fully understand a brand's vision or receive timely feedback. To manage these challenges, it's important to establish clear communication channels, use collaborative design tools, and schedule regular virtual check-ins to ensure alignment throughout the design process. Additionally, understanding regulatory requirements for wine labels and staying updated on industry trends are essential to deliver compliant and competitive designs.

What are the key skills and qualifications needed to thrive as a Remote Wine Label Designer, and why are they important?

To thrive as a Remote Wine Label Designer, you need strong graphic design skills, a solid portfolio showcasing relevant work, and knowledge of branding principles, often supported by a degree in graphic design or a related field. Mastery of design software such as Adobe Illustrator, Photoshop, and InDesign is essential, and familiarity with digital collaboration tools is highly beneficial. Creativity, attention to detail, and effective communication skills help designers interpret client visions and collaborate remotely. These abilities are crucial for creating visually appealing, compliant, and marketable wine labels that stand out in a competitive industry.
What are the most commonly searched types of Wine Label Design jobs in Florida? The most popular types of Wine Label Design jobs in Florida are:
What are popular job titles related to Remote Wine Label Design jobs in Florida? For Remote Wine Label Design jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Wine Label Design jobs in Florida look for? The top searched job categories for Remote Wine Label Design jobs in Florida are:
What cities in Florida are hiring for Remote Wine Label Design jobs? Cities in Florida with the most Remote Wine Label Design job openings:
Remote Wine Label Design jobs near you

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Posted 11 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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