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Remote Data Privacy Jobs in Springfield, MO (NOW HIRING)

Revel Staffing

IT Support Supervisor

Springfield, MO · Remote

$80K - $115K/hr

We are seeking an experienced IT Support Supervisor to lead a remote team focused on IT training, ... Support system stability, application readiness, data integrity, and compliance requirements

micro1 AI

Technology Transactions Counsel

Springfield, MO · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... Experience with data licensing, artificial intelligence, privacy, or data protection. * Familiarity ...

Workiva

Spring 2027 Intern - Partnerships

Springfield, MO · On-site +1

$21/hr

This role involves maintaining data integrity, evaluating partnership lifecycles, and assisting ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsData Privacy JobsRemote Data Privacy JobsRemote Data Privacy Jobs in Springfield, MO

Remote Data Privacy information

See Springfield, MO salary details

$9

$42

$78

How much do remote data privacy jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote data privacy in Springfield, MO is $42.36, according to ZipRecruiter salary data. Most workers in this role earn between $24.42 and $55.91 per hour, depending on experience, location, and employer.

What is a remote data privacy professional?

A Remote Data Privacy professional is someone who works from a remote location to ensure that an organization’s data collection, storage, and usage practices comply with privacy laws and regulations. They help protect sensitive information, develop privacy policies, and advise on best practices for handling data securely. These professionals may also conduct risk assessments, respond to data breaches, and train staff on privacy protocols. Their work is crucial for maintaining trust with clients and avoiding legal penalties related to data misuse.

What are some common challenges faced by remote data privacy professionals and how can they be addressed?

Remote data privacy professionals often face challenges such as ensuring secure data handling practices across different devices and networks, staying updated with global privacy regulations, and maintaining effective communication with cross-functional teams. To address these, professionals should leverage encrypted communication tools, follow strict data access protocols, and participate in regular training on evolving compliance requirements. Collaborating closely with IT, legal, and business units helps ensure that privacy standards are consistently met, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data privacy professional, and why are they important?

To excel as a Remote Data Privacy professional, you need a strong understanding of data protection laws (like GDPR and CCPA), risk assessment, and compliance frameworks, usually supported by a relevant degree or certification (such as CIPP or CIPM). Familiarity with data governance tools, privacy management systems, and encryption technologies is typically required. Exceptional attention to detail, problem-solving abilities, and strong communication skills set top performers apart in this role. These skills and qualifications are crucial to ensure organizations maintain regulatory compliance, protect sensitive information, and build stakeholder trust in a remote environment.

What is the difference between Remote Data Privacy vs Remote Data Privacy Analyst?

AspectRemote Data PrivacyRemote Data Privacy Analyst
CredentialsData privacy certifications, legal knowledgeData privacy certifications, analytical skills
Work EnvironmentRemote, compliance-focusedRemote, data analysis and privacy assessment
Industry UsageLegal, tech, healthcareTech, finance, healthcare
Job FocusDeveloping privacy policies, complianceAssessing data privacy risks, audits

Remote Data Privacy roles focus on creating privacy policies and ensuring compliance, often requiring legal and regulatory knowledge. Remote Data Privacy Analysts primarily analyze data practices, perform audits, and assess risks. Both roles are remote and industry-relevant, but differ in their core responsibilities and skill sets.

What are popular job titles related to Remote Data Privacy jobs in Springfield, MO?

For Remote Data Privacy jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Remote Data Privacy jobs in Springfield, MO look for?

The top searched job categories for Remote Data Privacy jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Data Privacy jobs?

Cities near Springfield, MO with the most Remote Data Privacy job openings:

Remote Data Privacy jobs near you
Infographic showing various Remote Data Privacy job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $88,113 per year, or $42.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO • Remote

Full-time

Re-posted 18 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.

Apply