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Image Data Analyst Jobs in Kansas (NOW HIRING)

Rally House

Buying Ecommerce Coordinator

Lenexa, KS · On-site

$24 - $28/hr

Analyze and identify opportunities for improving item descriptions based on competitor analysis ... image issues, or other opportunities for improvement * Assist with product categorization ...

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Image Data Analyst information

What is an image data analyst?

Image Data Analysts are professionals who specialize in processing, interpreting, and extracting meaningful information from digital images using analytical and computational techniques. They often work with large datasets of images in fields such as healthcare, remote sensing, manufacturing, and scientific research. Their responsibilities include cleaning image data, applying algorithms to detect patterns or anomalies, and collaborating with teams to derive insights that support decision-making or innovation. Proficiency in programming, image processing tools, and statistical analysis is typically required for this role.

How does an image data analyst typically collaborate with data scientists and software engineers on projects?

Image Data Analysts often work closely with data scientists to preprocess, annotate, and interpret visual datasets, ensuring data quality and relevance for model training. They also partner with software engineers to develop and optimize pipelines for image data ingestion, transformation, and storage. Effective communication and teamwork are vital, as analysts must clearly convey insights or issues to both technical and non-technical stakeholders, contributing to a seamless workflow and successful project outcomes.

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

To thrive as an Image Data Analyst, you need a solid background in statistics, computer vision, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with technical tools such as Python, MATLAB, TensorFlow, and image processing libraries, along with experience using machine learning frameworks, is usually required. Attention to detail, critical thinking, and strong problem-solving skills are essential soft skills that help interpret complex image data and communicate findings effectively. These skills are crucial for accurately extracting insights from visual data and supporting data-driven decision-making across various industries.

What is the difference between Image Data Analyst vs Data Scientist?

AspectImage Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Computer Science, or related field; familiarity with image processing toolsBachelor's or higher in Data Science, Computer Science, or related; often includes programming and statistical skills
Work EnvironmentTech companies, research labs, media, and marketing firms focusing on visual dataVarious industries including tech, finance, healthcare, and research
Employer & Industry UsageUsed in industries analyzing visual content, such as advertising, media, and AI developmentApplied across multiple sectors for data analysis, predictive modeling, and machine learning

While both roles involve data analysis, Image Data Analysts specialize in visual and image-specific data, focusing on image processing and interpretation. Data Scientists have broader responsibilities, including developing models and algorithms across various data types. The roles often overlap in skills like data handling and programming but differ in their focus areas and industry applications.

What cities in Kansas are hiring for Image Data Analyst jobs?

Cities in Kansas with the most Image Data Analyst job openings:

Image Data Analyst jobs near you
Infographic showing various Image Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Pittsburg, KS • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 20 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

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.

Requirements

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.

Benefits

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.

Apply