ZipRecruiter

Log In

2

Remote Data Privacy Officer Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Ensure compliance with Government security and privacy requirements. * Troubleshoot data ...

previous pagenext page

Showing results 21-40

All JobsData Privacy Officer JobsRemote Data Privacy Officer JobsRemote Data Privacy Officer Jobs in Ohio

Remote Data Privacy Officer information

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

To thrive as a Remote Data Privacy Officer, you need a solid understanding of privacy laws (such as GDPR or CCPA), risk assessment, and data protection principles, often supported by a degree in law, IT, or a related field. Familiarity with data mapping tools, privacy management software, and certifications like CIPP/E or CIPM is highly valued. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting regulations and guiding organizational compliance remotely. These competencies help ensure organizations properly safeguard personal data and maintain compliance in an evolving digital landscape.

How do you become a remote data privacy officer?

To become a remote data privacy officer, candidates typically need a bachelor's degree in law, information technology, or a related field, along with experience in data protection and privacy regulations such as GDPR or CCPA. Earning certifications like CIPP or CIPM can enhance qualifications, and strong analytical, communication, and technical skills are essential for managing privacy compliance remotely.

What is a remote data privacy officer?

Remote Data Privacy Officers are professionals responsible for overseeing and ensuring that an organization's data handling practices comply with privacy laws and regulations, such as the GDPR or CCPA, while working from a remote location. They develop policies, conduct training, perform audits, and serve as the point of contact for data protection matters. Their role is crucial in safeguarding sensitive information, mitigating risks, and responding to data breaches or privacy-related incidents. By working remotely, they utilize digital tools and communication platforms to fulfill their duties effectively from anywhere.

What is the difference between Remote Data Privacy Officer vs Remote Data Protection Specialist?

AspectRemote Data Privacy OfficerRemote Data Protection Specialist
CertificationsCertified Information Privacy Professional (CIPP), Data Privacy certificationsData Protection certifications, CIPP, CISSP
Work EnvironmentCorporate, legal, compliance teamsIT, security teams, technical roles
Employer & Industry UsageBusinesses handling personal data, legal complianceIT security firms, tech companies, data centers
Search & Comparison IntentUnderstanding privacy compliance rolesTechnical data protection responsibilities

The Remote Data Privacy Officer primarily focuses on ensuring organizational compliance with privacy laws and managing data privacy policies. In contrast, the Remote Data Protection Specialist emphasizes technical security measures to safeguard data. Both roles often require similar certifications and work within data-related industries, but their core responsibilities differ—privacy officers handle legal and policy aspects, while protection specialists focus on technical security implementations.

How does a remote data privacy officer typically collaborate with cross-functional teams to ensure compliance?

As a Remote Data Privacy Officer, you will regularly work with departments such as IT, legal, HR, and product development to ensure that data privacy protocols are integrated into daily operations. Collaboration often involves virtual meetings to review policies, assess privacy risks in new projects, and coordinate responses to data incidents. Effective communication is key, as you'll need to translate complex privacy regulations into actionable steps for non-expert colleagues. Building strong relationships and maintaining clear documentation are both crucial for successfully aligning privacy initiatives across remote teams.
What are popular job titles related to Remote Data Privacy Officer jobs in Ohio? For Remote Data Privacy Officer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Privacy Officer jobs in Ohio look for? The top searched job categories for Remote Data Privacy Officer jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Privacy Officer jobs? Cities in Ohio with the most Remote Data Privacy Officer job openings:
Remote Data Privacy Officer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bowling Green, OH • 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.

Apply