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Contract Remote Image Segmentation Jobs in Florida

Incubator Lab

Google Ads Media Buyer

Miami, FL · Remote

Master keyword strategy, search terms, lookalike segments, custom intent audiences, and first-party ... REMOTE-FIRST & ASYNCHRONOUS We prioritize output over hours. However, because this role is deeply ...

New

Incubator Lab

Google Ads Media Buyer

Miami, FL · On-site +1

$2.0K - $7.0K/mo

Master keyword strategy, search terms, lookalike segments, custom intent audiences, and first-party ... REMOTE-FIRST & ASYNCHRONOUS We prioritize output over hours. However, because this role is deeply ...

New

Incubator Lab

Google Ads Media Buyer

Miami, FL · On-site +1

$2.0K - $7.0K/wk

Master keyword strategy, search terms, lookalike segments, custom intent audiences, and first-party ... REMOTE-FIRST & ASYNCHRONOUS We prioritize output over hours. However, because this role is deeply ...

New

Secur-Serv

SMB Account Executive

Miami, FL · On-site +1

This is a remote, work-from-home position, and all qualified candidates are encouraged to apply in ... Negotiate contracts and pricing to maximize profitability while ensuring client satisfaction.

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All JobsContract Image Segmentation JobsContract Remote Image Segmentation JobsContract Remote Image Segmentation Jobs in Florida

Contract Remote Image Segmentation information

What is the difference between Contract Remote Image Segmentation vs Contract Remote Data Labeling Specialist?

AspectContract Remote Image SegmentationContract Remote Data Labeling Specialist
CredentialsBasic understanding of image annotation tools, sometimes certifications in image processingSimilar; often requires knowledge of labeling tools and data annotation standards
Work EnvironmentRemote, project-based, focused on image dataRemote, project-based, involves labeling various data types including images, text, and audio
Industry UsageTech, AI, healthcare, autonomous vehiclesTech, AI, e-commerce, healthcare, research

Contract Remote Image Segmentation specialists focus specifically on dividing images into meaningful parts for AI training, while Contract Remote Data Labeling Specialists handle a broader range of data types. Both roles are remote, require familiarity with annotation tools, and are vital in AI development. The main difference lies in the scope of data handled, with image segmentation being a specialized subset of data labeling.

What are the most commonly searched types of Remote Image Segmentation jobs in Florida?

The most popular types of Remote Image Segmentation jobs in Florida are:

What are popular job titles related to Contract Remote Image Segmentation jobs in Florida?

For Contract Remote Image Segmentation jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Contract Remote Image Segmentation jobs in Florida look for?

The top searched job categories for Contract Remote Image Segmentation jobs in Florida are:

What cities in Florida are hiring for Contract Remote Image Segmentation jobs?

Cities in Florida with the most Contract Remote Image Segmentation job openings:

Contract Remote Image Segmentation jobs near you
Infographic showing various Contract Remote Image Segmentation job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Computer Vision Engineer ID72408

Tampa, FL • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

$98K - $135K/yr

Full-time

Posted 6 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.