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Remote Data Privacy Jobs in Boston, MA (NOW HIRING)

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

... data privacy and security compliance. * Research & Development: Stay up-to-date with the latest ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

... data privacy and security compliance. * Research & Development: Stay up-to-date with the latest ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

... data privacy and security compliance. * Research & Development: Stay up-to-date with the latest ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Gunderson LLC

Systems Integration Developer

Boston, MA · On-site +1

$150K - $180K/yr

Ensure secure, efficient Azure-hosted environments and enforce best practices for data privacy and ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

Danaher

Senior Cybersecurity Risk Analyst - USA Remote

Boston, MA · Remote

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... privacy questionnaire administration, evidence collection and review, scoring, and final risk ... Review and provide cybersecurity input on third-party contracts (IS Terms & Conditions, Data ...

Novocure

AI Intern - IP Operations

Boston, MA · On-site +1

$25/hr

Implement validation, security, and data privacy safeguards for enterprise AI applications ... Remote-friendly, with hybrid flexibility for candidates near Chesterbrook, PA * Direct mentorship ...

Humana

Senior AI Implementation Lead

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ensure data privacy and AI frameworks. Influence business partners on solutions, work with offshore ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ensure data privacy and AI frameworks. Influence business partners on solutions, work with offshore ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ensure data privacy and AI frameworks. Influence business partners on solutions, work with offshore ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Interra Health

Senior Corporate Counsel

Boston, MA · Remote

$170K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... are / data privacy, transactional law, with pharmacy / PBM practices as a huge plus * Deep ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Autodesk

Senior Manager, Data Security

Boston, MA · On-site +1

$124K - $170K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Partner with Legal, Privacy, Compliance, Engineering, and People teams to translate regulatory ...

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Showing results 21-40

All JobsData Privacy JobsRemote Data Privacy JobsRemote Data Privacy Jobs in Boston, MA

Remote Data Privacy information

See Boston, MA salary details

$12

$54

$100

How much do remote data privacy jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data privacy in Boston, MA is $54.01, according to ZipRecruiter salary data. Most workers in this role earn between $31.14 and $71.28 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 the most commonly searched types of Data Privacy jobs in Boston, MA?

The most popular types of Data Privacy jobs in Boston, MA are:

What are popular job titles related to Remote Data Privacy jobs in Boston, MA?

For Remote Data Privacy jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Data Privacy jobs in Boston, MA look for?

The top searched job categories for Remote Data Privacy jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Data Privacy jobs?

Cities near Boston, MA with the most Remote Data Privacy job openings:

Remote Data Privacy jobs near you
Infographic showing various Remote Data Privacy job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,331 per year, or $54 per hour.

Senior Machine Learning Engineer

C the Signs

Boston, MA • On-site, Remote

$133K - $175K/yr

Full-time

Re-posted 24 days ago

Job description

Position Summary
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data.
Key Responsibilities
  • Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature engineering, and data normalization. Identify, collect, and curate relevant, industry-specific datasets for model retraining. Format data appropriately for the chosen LLM and training pipeline
  • Model Training & Fine-Tuning: Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems. Set up and manage the training environment, including GPU instances and required software. Train and fine-tune pre-trained LLMs on the custom dataset to achieve specific goals. Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance. Integration of structured + unstructured data (multi-modal/multi-input models)
  • Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies.
  • Pipeline Development: Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment.
  • Collaboration: Work closely with data scientists, clinicians, and software engineers to understand requirements, integrate models into production systems, and ensure data privacy and security compliance.
  • Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions.
  • Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.

Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • Experience:
    • 5+ years of experience in Machine Learning Engineering or a similar role.
    • Proven experience with large-scale data preprocessing, LLM/model training, and fine-tuning.
    • Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).
    • Experience with GPU/TPU optimization, memory management for large language models.
    • Experience working with healthcare data is highly desirable.
  • Technical Skills:
    • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
    • Strong understanding of various machine learning algorithms,Large Language Models, and deep learning architectures.
    • Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark) is a plus.
    • Familiarity with MLOps practices and tools.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and collaboration abilities.
    • Ability to work independently and as part of a team in a fast-paced environment.
  • Work Authorization:
      • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits
Why Join Us?
Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply