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Remote Image Analysis Jobs in New York (NOW HIRING)

4 Staffing Corp

Software Engineer

Manhattan, NY · On-site +1

... Hybrid/Remote - NYCNo visa sponsorship available at this time.Our client an up and coming ... image recognition, speech recognition, and recommendation systems.Collect, preprocess, and analyze ...

New

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to ... Analyze data to identify performance improvements for customers' models swiftly * Experiment with ...

Dataminr

Account Executive, SLED (West)

Manhattan, NY · On-site +1

This is a US-based remote role preferred locations are TX, CO or western US with travel across the ... Analyze the competitive landscape and understand customer needs in order to position Dataminr ...

ITW

eCommerce Channel Manager

Brooklyn, NY · Remote

$90K - $120K/yr

This position is based Remote from Home. Key Responsibilities Performance & Analytics * Build e ... Drive adoption of AI-powered content tooling, image optimization technologies and SEO/GEO/AEO ...

WES

Associate Director, Content Marketing

Manhattan, NY · Remote

$107K - $136K/yr

USA - Remote Compensation: $107K - $136K USD Who We Are: World Education Services (WES) is a ... Directly oversee and manage a Content Marketing Analyst. * Create and execute on a B2B and B2C ...

Dataminr

Senior Sales Engineer

Manhattan, NY · On-site +1

This is a remote position for candidates based out of the North Eastern US. AI Innovation at ... image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ...

Dataminr

Senior Sales Engineer

New York, NY · Remote

This is a remote position for candidates based out of the North Eastern US. AI Innovation at ... image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ...

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Showing results 21-40

All JobsImage Analysis JobsRemote Image Analysis JobsRemote Image Analysis Jobs in New York

Remote Image Analysis information

What is remote image analysis?

Remote image analysis is the process of examining and interpreting images from a distance, often using specialized software and cloud-based platforms. Professionals in this field analyze images from sources such as satellites, drones, medical imaging devices, or security cameras to extract useful information without being physically present. This approach allows for efficient data processing, real-time collaboration, and accessibility from anywhere with an internet connection. Remote image analysis is commonly used in industries like healthcare, agriculture, environmental monitoring, and security.

What are some common challenges faced in a remote image analysis role, and how can they be addressed?

One common challenge in remote image analysis is maintaining effective communication with team members and project stakeholders, as collaboration often relies on digital platforms. Additionally, handling large datasets and ensuring secure data transfer can be technically demanding in a remote setup. To address these issues, professionals should become proficient with collaborative tools (such as Slack, Zoom, or project management software) and follow best practices for data security and version control. Regular check-ins and clear documentation also help ensure smooth workflow and minimize misunderstandings.

What are the key skills and qualifications needed to thrive as a remote image analyst, and why are they important?

To thrive as a Remote Image Analyst, you need a solid background in image processing, pattern recognition, and a relevant degree in fields like computer science or engineering. Familiarity with software such as MATLAB, Python (with libraries like OpenCV), and GIS platforms is typically required, along with certifications in data analysis or remote sensing. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting images and sharing findings with stakeholders. These skills ensure accurate data interpretation, support decision-making, and enable seamless collaboration in remote work environments.

What is the difference between Remote Image Analysis vs Remote Data Annotation?

AspectRemote Image AnalysisRemote Data Annotation
Primary FocusInterpreting and analyzing images to extract meaningful informationLabeling and tagging data to prepare datasets for machine learning
Required SkillsImage recognition, pattern analysis, attention to detailData labeling, understanding of annotation tools, accuracy
Work EnvironmentRemote, often flexible hours, tech-focusedRemote, collaborative platforms, tech and communication skills
Industry UsageHealthcare, security, autonomous vehiclesAI, machine learning, computer vision projects

Remote Image Analysis involves interpreting images to extract insights, often requiring specialized visual skills. Remote Data Annotation focuses on labeling data to train AI models, emphasizing accuracy and consistency. Both roles are remote, industry-specific, and essential for AI development, but they differ in their core tasks and skill sets.

What are the most commonly searched types of Image Analysis jobs in New York?

The most popular types of Image Analysis jobs in New York are:

What are popular job titles related to Remote Image Analysis jobs in New York?

For Remote Image Analysis jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Image Analysis jobs in New York look for?

The top searched job categories for Remote Image Analysis jobs in New York are:

What cities in New York are hiring for Remote Image Analysis jobs?

Cities in New York with the most Remote Image Analysis job openings:

Remote Image Analysis jobs near you
Infographic showing various Remote Image Analysis job openings in New York as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Artificial Intelligence Software Engineer

10xTalents

Manhattan, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Artificial Intelligence Software Engineer About the job Artificial Intelligence Software Engineer Artificial Intelligence Software Engineer - Hybrid/Remote - NYC No visa sponsorship available at this time. Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology. Responsibilities: Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications. Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing. Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems. Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization. Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices. Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products. Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools. Document design specifications, implementation details, and best practices for internal and external stakeholders. Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred. Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role. Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models. Familiarity with software engineering best practices, including version control, testing, and code review. Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions. Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. #J-18808-Ljbffr

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