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Remote Data Visualization Designer Jobs in Ann Arbor, MI

Data Analyst III

Detroit, MI · On-site +1

$52K - $101K/yr

Designs processes to meet regulatory requirements. * Develops and generates specialized and ad hoc ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Vet-designed platform - Built to support clinical focus, not increase admin burden You'd Thrive in ... If you would like more information about how your data is processed, please contact us. apply for ...

Vet-designed platform -- Built to support clinical focus, not increase admin burden You'd Thrive in ... If you would like more information about how your data is processed, please contact us.

That meansmaintaininga current, data-backed view of security posture. It means translating threat ... This lead sets the architecture bar, reviewing and approving secure designs across the portfolio.

New

That meansmaintaininga current, data-backed view of security posture. It means translating threat ... This lead sets the architecture bar, reviewing and approving secure designs across the portfolio.

New

Showing results 41-60

Remote Data Visualization Designer information

See Ann Arbor, MI salary details

$26

$39

$67

How much do remote data visualization designer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data visualization designer in Ann Arbor, MI is $39.81, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $51.73 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Visualization Designer vs Data Analyst?

AspectRemote Data Visualization DesignerData Analyst
Required SkillsData visualization tools, design principles, basic analyticsData analysis, statistical skills, reporting
Work EnvironmentDesign-focused, collaborative with data teamsAnalytical, reporting, data interpretation
Common EmployersTech companies, consulting firms, marketing agenciesFinance, healthcare, retail, tech

While both roles involve working with data, a Remote Data Visualization Designer primarily focuses on creating visual representations of data to communicate insights effectively. In contrast, a Data Analyst performs in-depth data analysis, interprets results, and generates reports. The roles often overlap in skills like data handling and tools, but their core responsibilities differ, making each role unique in the data industry.

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For Remote Data Visualization Designer jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Visualization Designer jobs in Ann Arbor, MI look for?

The top searched job categories for Remote Data Visualization Designer jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Remote Data Visualization Designer jobs?

Cities near Ann Arbor, MI with the most Remote Data Visualization Designer job openings:

Infographic showing various Remote Data Visualization Designer job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,814 per year, or $39.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Ann Arbor, MI • Remote

Full-time

Re-posted 17 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.

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.