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Remote Data Privacy Specialist Jobs in Rochester, NY

CaterTrax

Chief Technology Officer

Rochester, NY · On-site +1

The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ... Establish AI governance policies covering model explainability, bias detection, data privacy, and ...

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All JobsData Privacy Specialist JobsRemote Data Privacy Specialist JobsRemote Data Privacy Specialist Jobs in Rochester, NY

Remote Data Privacy Specialist information

See Rochester, NY salary details

$27.6K

$72K

$86.8K

How much do remote data privacy specialist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data privacy specialist in Rochester, NY is $71,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $85,800.00 per year, depending on experience, location, and employer.

What does a remote data privacy specialist do?

A Remote Data Privacy Specialist is responsible for ensuring that an organization’s data collection, storage, and processing practices comply with data privacy laws and regulations, such as GDPR or CCPA. They assess data risks, develop privacy policies, respond to data breaches, and advise stakeholders on best practices for protecting sensitive information. Working remotely, they use digital tools to monitor data activities, conduct privacy impact assessments, and provide training to staff. Their role is crucial in minimizing legal risks and maintaining consumer trust in a digital environment.

What are the key skills and qualifications needed to thrive as a remote data privacy specialist?

To excel as a Remote Data Privacy Specialist, you need a strong understanding of data protection laws (such as GDPR, CCPA), risk assessment, and compliance management, typically supported by a relevant degree or privacy certifications like CIPP or CIPM. Familiarity with data mapping tools, privacy management software, and security frameworks is essential. Excellent problem-solving, communication, and attention to detail help you effectively advise stakeholders and manage sensitive information remotely. These skills ensure organizations maintain regulatory compliance, safeguard personal data, and build trust in a digital environment.

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

As a Remote Data Privacy Specialist, you'll frequently work with legal, IT, HR, and product teams to ensure that data privacy policies are integrated into all business processes. This collaboration often involves reviewing new projects for privacy risks, advising on best practices, and providing training to staff. You'll also participate in regular virtual meetings and use collaborative tools to track compliance tasks and incident responses. Effective communication and the ability to translate complex regulations into practical steps for various departments are key to success in this role.

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

AspectRemote Data Privacy SpecialistRemote Data Analyst
Required CredentialsCertifications in data privacy (e.g., CIPP), knowledge of privacy lawsData analysis certifications (e.g., CAP, Microsoft Certified Data Analyst)
Work EnvironmentFocus on privacy compliance, legal regulations, data protectionFocus on data interpretation, reporting, and insights
Employer & Industry UsageTech, healthcare, finance, legal sectorsMarketing, finance, consulting, tech sectors
Search & Comparison IntentUnderstanding privacy roles, compliance tasksData analysis skills, reporting responsibilities

The Remote Data Privacy Specialist primarily focuses on ensuring data privacy compliance and legal adherence, often requiring privacy certifications. In contrast, the Remote Data Analyst concentrates on analyzing data to generate insights, with certifications in data analysis tools. Both roles are common in tech-driven industries but serve different functions within data management.

What are popular job titles related to Remote Data Privacy Specialist jobs in Rochester, NY?

For Remote Data Privacy Specialist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Privacy Specialist jobs in Rochester, NY look for?

The top searched job categories for Remote Data Privacy Specialist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Data Privacy Specialist jobs?

Cities near Rochester, NY with the most Remote Data Privacy Specialist job openings:

Remote Data Privacy Specialist jobs near you
Infographic showing various Remote Data Privacy Specialist job openings in Rochester, NY 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 $71,974 per year, or $34.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, NY • 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