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Internship Dpo Jobs (NOW HIRING)

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$40 - $50/hr

The internship will focus on building intelligent agents, generating high-quality trajectories ... Familiarity with training or adapting LLMs using SFT, RL, DPO/RLHF methods, or trajectory data.

Blockchain.com

IT Support Engineer Intern

Dallas, TX · On-site

$14.75 - $19.75/hr

Duration: 6-month internship with potential for permanent employment WHAT YOU WILL DO * Support day ... You may contact our Data Protection Officer by email at dpo@blockchain.com. Your personal data will ...

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How much do internship dpo jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for internship dpo in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

How much do CPS interns make?

CPS internship pay varies depending on the organization and location, but interns typically earn between $15 and $25 per hour. Compensation may also include stipends or academic credit, and some positions require specific skills or certifications.

What are Internship DPO positions?

Internship DPO (Data Protection Officer) positions are entry-level roles designed for students or recent graduates interested in data privacy and protection. Interns assist DPOs in ensuring that organizations comply with data protection laws such as the General Data Protection Regulation (GDPR). Typical tasks may include researching privacy regulations, helping draft privacy policies, conducting data audits, and supporting data subject requests. These internships provide hands-on experience in the legal, technical, and administrative aspects of data protection.

What jobs pay $2000 a day?

Jobs that can pay $2000 a day typically include high-level consulting, specialized medical procedures, executive roles, or certain freelance professions such as software development or legal consulting. These positions often require advanced skills, significant experience, or professional certifications, and may involve project-based or contract work with high hourly or daily rates.

What are the key skills and qualifications needed to thrive as an Internship DPO (Data Protection Officer), and why are they important?

To thrive as an Internship DPO, you need a foundational understanding of data protection laws (like GDPR), privacy principles, and risk assessment, often supported by relevant academic coursework or certifications. Familiarity with data management systems, compliance software, and privacy impact assessment tools is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret regulations and advise teams. These abilities are crucial for ensuring organizational compliance and safeguarding sensitive data in a rapidly evolving regulatory landscape.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time roles in accounting and professional services.

Is a 3.4 GPA good for internships?

For an Internship Dpo or similar roles, a 3.4 GPA is generally considered acceptable, especially if complemented by relevant skills, certifications, or experience. Many employers value practical knowledge and problem-solving abilities alongside GPA, so demonstrating strong skills and a proactive attitude can improve your chances of securing an internship.

What types of projects and responsibilities can I expect during an Internship as a Data Protection Officer (DPO)?

As an intern supporting a Data Protection Officer, you will typically assist with tasks such as conducting data privacy audits, supporting the development and review of data protection policies, and helping respond to data subject access requests. You may also participate in risk assessments, maintain data processing records, and contribute to staff training initiatives on data privacy topics. This role often involves collaborating closely with IT, legal, and compliance teams, providing a valuable opportunity to learn about cross-functional data governance. Expect to work in a detail-oriented environment where confidentiality and adherence to regulations like GDPR are critical.

What is the difference between Internship Dpo vs Data Privacy Analyst?

AspectInternship DpoData Privacy Analyst
Required CredentialsTypically pursuing or recent graduate, no formal certification requiredRelevant certifications like CIPP, CIPM often preferred
Work EnvironmentEntry-level, learning-focused, often in a corporate or consultancy settingFull-time, professional role with independent responsibilities
Employer & Industry UsageInternships offered by companies, law firms, or consultancies in various industriesEstablished role in organizations handling data privacy compliance

The main difference is that an Internship Dpo is an entry-level, learning position aimed at gaining experience, while a Data Privacy Analyst is a full-time professional role with more responsibilities and required expertise. Internships serve as a stepping stone toward becoming a Data Privacy Analyst.

More about Internship Dpo jobs
What cities are hiring for Internship Dpo jobs? Cities with the most Internship Dpo job openings:
What are the most commonly searched types of Dpo jobs? The most popular types of Dpo jobs are:
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Internship Dpo jobs near you
Infographic showing various Internship Dpo job openings in the United States as of June 2026, with employment types broken down into 7% As Needed, 2% Full Time, 89% Part Time, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $34,624 per year, or $16.6 per hour.
Agentic AI Research Intern

Agentic AI Research Intern

Fujitsu

Santa Clara, CA • On-site

$40 - $50/hr

Full-time, Internship

Posted 9 days ago

Job description

Santa Clara, California
Location Flexibility: Multiple Locations in Country
Req Id: 8529
Posting Start Date: 5/28/26
At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation.
We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society.
We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them.
If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career.
Together, we can create a more sustainable future for all.
FUJITSU RESEARCH OF AMERICA, INC. (FRA) was established in 1993 as a wholly owned subsidiary of Fujitsu Laboratories Ltd., which is a wholly owned subsidiary of Fujitsu Ltd., focusing on contributing to Fujitsu's technology value chain. FRA conducts advanced research in Artificial Intelligence, Data Science, System Components and Platform Innovations, Network and Trusted Systems Innovations, and Internet Service Innovations.
We are seeking a highly motivated PhD intern to work on LLM-based agents for end-to-end software and enterprise workflows. The internship will focus on building intelligent agents, generating high-quality trajectories, improving agent performance with training and test-time methods, and running reproducible benchmark evaluations.
The intern will collaborate with AI researchers and engineers to develop agent systems that can plan, use tools, inspect state, recover from failures, and verify their own work. The project uses Code Enterprise World Model (CEWM) style trajectories to record observation-action-next_observation transitions for SFT, RL, preference optimization, replay, and evaluation.
Job Description
  • Build and evaluate LLM-based coding, browser-based, computer-use, and workflow agents.
  • Improve agent performance using training data, SFT/RL methods, and test-time verification.
  • Run reproducible experiments with baselines, ablations, clean reporting, and failure analysis.
  • Work with agentic coding tools and AI-generated code workflows such as Cursor, Claude Code, Codex, or similar systems.
  • Evaluate agents on benchmark tasks such as WebVoyager, SWE-bench, Terminal-Bench, CodeClash, or internal enterprise workflows.
  • Deliver results suitable for an internal research report or submission to a top AI conference.

Qualifications
  • Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, Software Engineering, or a related field.
  • Research experience with LLMs, coding agents, tool use, or agentic workflows.
  • Strong Python skills; comfortable with git, debugging, unit tests, and Linux/CLI workflows.
  • Experience running reproducible experiments, including baselines, ablations, and clear result reporting.
  • Familiarity with training or adapting LLMs using SFT, RL, DPO/RLHF methods, or trajectory data.

Preferred Qualifications
  • Hands-on experience with coding-agent benchmarks such as SWE-bench, Terminal-Bench, WebVoyager, or similar task suites.
  • Experience with inference-time verification using unit tests, learned verifiers, search, or reranking.
  • Experience with multimodal agents, browser automation, vLLM, Docker/containers, CI-style evaluation, or scaling experiments.
  • Publication record in top AI/ML, software engineering, or systems venues.

Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $40/hr. to $50/hr. USD.
Relocation Supported: No
Visa Sponsorship Approved: No

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