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Contract Remote Image Segmentation Jobs in Missouri

St Louis, MO Remote Until Covid Duration: 6 to 12 Months Contract Key skills: * Experience in ... X12 Segment and Looping structure validations against the Healthcare Standards including, HIPAA and ...

... segment-crafting winning strategies, guiding a high-performing sales team, and securing major contracts that elevate student life and institutional success. This is a remote role open to candidates ...

... segment-crafting winning strategies, guiding a high-performing sales team, and securing major contracts that elevate student life and institutional success. This is a remote role open to candidates ...

Remote #LI-Remote The selected candidate can be remote, based in the United States. Our Team ... Participate in key contract negotiations and maintain competitive pricing strategies in alignment ...

Strong understanding of WRE procurement trends, buying behaviours and contract awards. * Excellent ... LI-Remote #LI-DS1 #IND-AEO Marshall Group is an Equal Opportunity Employer Marshall Group is an ...

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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 popular job titles related to Contract Remote Image Segmentation jobs in Missouri? For Contract Remote Image Segmentation jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Contract Remote Image Segmentation jobs? Cities in Missouri with the most Contract Remote Image Segmentation job openings:

Full-time

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Job description

Albin Engineering Services, Inc. (www.aesi.com) is looking for a Consultant - Software Architect, Image Analysis & AI/ML for one of our premier clients. This is a 1 year consulting position that will be an as‐needed basis.

It will be approximately 10‐20 hours for the first quarter and 10 hours a week after. This can be a remote position. We are seeking a highly skilled Consultant with deep expertise in software architecture, image analysis, image pattern recognition, and AI/ML for real‐time image augmentation.

This is a strategic role where you will provide technical leadership and guidance to design and implement cutting‐edge solutions that leverage artificial intelligence and machine learning for advanced image processing applications. You will work on real‐time systems, providing innovative solutions. Key Responsibilities: Software Architecture & Design : Lead the design and architecture of software solutions focused on image analysis, ensuring scalability, performance, and integration with existing systems.

Collaborate with cross‐functional teams to align architecture with project goals and business objectives. Define and document architectural frameworks and best practices for image processing systems. Image Pattern Recognition : Develop and implement algorithms for identifying and analyzing patterns in images, including object recognition, feature extraction, and classification.

Apply computer vision techniques to solve complex image‐related challenges across various domains. AI/ML for Image Analysis : Design and develop AI/ML models tailored for image processing, utilizing deep learning, computer vision, and neural networks (such as CNNs, RNNs, etc.). Train and optimize models for tasks such as image classification, segmentation, and anomaly detection.

Stay updated on emerging AI/ML techniques and apply them to improve image analysis workflows. Real‐Time Image Augmentation : Develop solutions for real‐time image augmentation, enabling dynamic, interactive, and high‐performance manipulation of image data. Work on low‐latency, high‐throughput image processing pipelines to support real‐time applications such as augmented reality (AR), autonomous systems, and video analytics.

Implement techniques to enhance image quality, modify image attributes, and simulate real‐time environments. Consulting & Strategy : Provide expert advice and recommendations to internal teams and external clients on best practices for image analysis and AI/ML integration. Conduct technical assessments, feasibility studies, and solution evaluations to ensure alignment with business goals.

Support the development of technical documentation, including architectural blueprints, system specifications, and user guides. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D.

in a relevant area is a plus. 7+ years of experience in software architecture, with a focus on image analysis, pattern recognition, and AI/ML. Proven experience in developing real‐time image processing systems.

Strong expertise in deep learning, computer vision, and image processing algorithms. Hands‐on experience with image analysis frameworks such as OpenCV, TensorFlow, PyTorch, or similar libraries. Advanced knowledge of machine learning frameworks and libraries (TensorFlow, Keras, PyTorch).

Expertise in real‐time systems and performance optimization. Proficiency in programming languages such as Python, C++, or Java. Experience with cloud platforms and deployment tools (AWS, Azure, GCP).

Familiarity with imaging hardware and edge computing for real‐time image augmentation is a plus. Excellent problem‐solving skills and ability to think critically and analytically. Strong communication skills, both written and verbal, with the ability to present complex technical concepts to non‐technical stakeholders.

Ability to work independently, manage multiple projects, and collaborate in a fast‐paced environment. Preferred Qualifications: Familiarity with data visualization and reporting tools for image analysis. Contributions to open‐source image processing or AI/ML projects.

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