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How much do part time blockchain cyber security jobs pay per year?

As of Jul 24, 2026, the average yearly pay for part time blockchain cyber security in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What are part-time blockchain cyber security jobs?

Part-time blockchain cyber security jobs involve protecting blockchain-based systems and applications from cyber threats while working less than a full-time schedule. Professionals in these roles may analyze smart contracts for vulnerabilities, monitor blockchain networks for security breaches, and help implement best practices to safeguard digital assets. These positions are ideal for individuals seeking flexible work arrangements, such as students, freelancers, or those with other commitments. Employers may range from startups to large tech companies, and responsibilities can vary based on the organization's needs and the complexity of their blockchain infrastructure.

What are the main challenges faced by part-time blockchain cyber security professionals, and how can they stay effective in their roles?

Part-time blockchain cyber security professionals often face the challenge of staying current with rapidly evolving threats and technologies while managing limited working hours. Since blockchain security incidents can occur at any time, maintaining effective communication with the full-time team and leveraging automated monitoring tools is crucial. Regularly attending team briefings, prioritizing high-impact security tasks, and participating in ongoing professional development can help part-time professionals remain effective and valuable to their organizations.

What is the difference between Part Time Blockchain Cyber Security vs Part Time Blockchain Security Analyst?

AspectPart Time Blockchain Cyber SecurityPart Time Blockchain Security Analyst
CertificationsCybersecurity certifications (e.g., CompTIA Security+, CISSP), blockchain security coursesSecurity certifications, blockchain technology training
Work EnvironmentTech companies, blockchain startups, financial institutionsBlockchain firms, cybersecurity teams, fintech companies
Industry UsageFocus on protecting blockchain networks from cyber threatsAnalyzing blockchain vulnerabilities and security risks

Part Time Blockchain Cyber Security primarily involves safeguarding blockchain systems from cyber threats, requiring cybersecurity expertise and blockchain knowledge. In contrast, Part Time Blockchain Security Analyst focuses on analyzing and identifying security vulnerabilities within blockchain networks. Both roles often overlap but differ in their core responsibilities and focus areas.

What are the key skills and qualifications needed to thrive as a Part Time Blockchain Cyber Security professional, and why are they important?

To thrive as a Part Time Blockchain Cyber Security professional, you need a strong understanding of cybersecurity principles, blockchain technology, cryptography, and relevant programming languages, often supported by a degree in computer science or a related field. Familiarity with tools like SIEM systems, blockchain analysis platforms, and certifications such as CISSP or Certified Blockchain Security Professional (CBSP) are highly beneficial. Attention to detail, analytical thinking, and effective communication are valuable soft skills for identifying threats and collaborating with teams. These skills and qualifications are crucial to protecting blockchain networks from cyber threats and ensuring the overall security and integrity of decentralized systems.
What cities are hiring for Part Time Blockchain Cyber Security jobs? Cities with the most Part Time Blockchain Cyber Security job openings:
What are the most commonly searched types of Blockchain Cyber Security jobs? The most popular types of Blockchain Cyber Security jobs are:
What states have the most Part Time Blockchain Cyber Security jobs? States with the most job openings for Part Time Blockchain Cyber Security jobs include:
Part Time Blockchain Cyber Security jobs near you
Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

NorthEastern

Arlington, VA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

About the Opportunity

The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Responsibilities

Qualified candidates must be prepared to work with global student populations.

The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.

Instructional areas include, but are not limited to:

  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.

Qualifications

Minimum qualifications:

  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:

  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials

Applicants should submit materials including a cover letter and vitae.

Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.

Please direct questions to John Wilder at j.wilder@northeastern.edu.

Applications will be reviewed until the position is filled.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $1,569.00.

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