Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Experience with NLP, image generation, or multimodal AI models. * Hands-on experience with APIs for ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Experience with NLP, image generation, or multimodal AI models. * Hands-on experience with APIs for ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Experience with NLP, image generation, or multimodal AI models. * Hands-on experience with APIs for ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Experience with NLP, image generation, or multimodal AI models. * Hands-on experience with APIs for ...
Remote Image Analysis information
See Rochester, NY salary details
$14.94 - $17.34
3% of jobs
$17.34 - $19.73
3% of jobs
$19.73 - $22.12
3% of jobs
$23.53 is the 25th percentile. Wages below this are outliers.
$22.12 - $24.52
26% of jobs
The median wage is $25.92 / hr.
$24.52 - $26.91
24% of jobs
$28.70 is the 75th percentile. Wages above this are outliers.
$26.91 - $29.30
20% of jobs
$29.30 - $31.70
7% of jobs
$31.70 - $34.09
4% of jobs
$34.09 - $36.48
4% of jobs
$36.48 - $38.88
2% of jobs
$38.88 - $41.27
2% of jobs
$14
$27
$41
How much do remote image analysis jobs pay per hour?
As of May 30, 2026, the average hourly pay for remote image analysis in Rochester, NY is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $29.42 per hour, depending on experience, location, and employer.
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 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 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 is the difference between Remote Image Analysis vs Remote Data Annotation?
| Aspect | Remote Image Analysis | Remote Data Annotation |
|---|---|---|
| Primary Focus | Interpreting and analyzing images to extract meaningful information | Labeling and tagging data to prepare datasets for machine learning |
| Required Skills | Image recognition, pattern analysis, attention to detail | Data labeling, understanding of annotation tools, accuracy |
| Work Environment | Remote, often flexible hours, tech-focused | Remote, collaborative platforms, tech and communication skills |
| Industry Usage | Healthcare, security, autonomous vehicles | AI, 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 popular job titles related to Remote Image Analysis jobs in Rochester, NY? For Remote Image Analysis jobs in Rochester, NY, the most frequently searched job titles are:
- Remote Junior Project Manager Internship
- Internship Biotech Analyst
- Remote Film Marketing Internship
- Internship Remote Rust Developer
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- Javascript Developer Remote Internship
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- Internship Remote Plc Programmer
What job categories do people searching Remote Image Analysis jobs in Rochester, NY look for? The top searched job categories for Remote Image Analysis jobs in Rochester, NY are:
- Business Analytics Internship
- Remote Computer Science Internship
- Internship Remote Reddit Marketing
- Remote Data Analytics Fall Internship
- Internship Remote Human Physiology
- Remote Software Developer Unpaid Internship
- Remote Image Tagging
- Remote Web Developer Internship No Experience
- Remote Ai
- Internship Summer Cruise
What cities near Rochester, NY are hiring for Remote Image Analysis jobs? Cities near Rochester, NY with the most Remote Image Analysis job openings:
Other
Posted 8 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
Collect, preprocess, and analyze large datasets for training and validating AI models.
Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
Stay updated with the latest advancements in Generative AI and automation technologies.
Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
Document technical designs, workflows, and implementation strategies.
Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
Proficiency in designing and deploying machine learning models, particularly in Generative AI.
Experience with automation tools (e.g., RPA, workflow orchestration tools).
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
Solid understanding of data structures, algorithms, and software design principles.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Preferred Qualifications:
Experience with NLP, image generation, or multimodal AI models.
Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
Familiarity with prompt engineering and fine-tuning Generative AI models.
Knowledge of MLOps practices for deploying and maintaining AI solutions.
Previous experience in automation or workflow optimization projects.
Why Join Us?
Work with cutting-edge Generative AI technologies.
Collaborate with a team of forward-thinking innovators.
Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020