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Phd Internship Jobs (NOW HIRING)

The Pennsylvania State University

Internship Role: We are seeking a highly motivated PhD intern (part-time research role) to support the development of tools, models, and taxonomies that expose and mitigate vulnerabilities in LLM ...

Apple

Hardware Technologies PhD Internships

Washington, DC · On-site

$139.80K - $184.50K/yr

In this internship, you will have the opportunity to work among the best engineers in the world on ... Pursuing a PhD degree in Electrical Engineering, Computer Engineering, Electrical and Computer ...

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Apple

Product Design PhD Internships

Washington, DC · On-site

$146.10K - $175.50K/yr

Product Design PhD Internships Imagine what you could do here. At Apple, new ideas have a way of ... At the end of the internship, you must return to school to continue your education or the ...

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How much do phd internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for phd internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Intern, and why are they important?

To thrive as a PhD Intern, you need advanced research skills, subject matter expertise, and enrollment in a relevant doctoral program. Experience with data analysis software, programming languages, or specialized laboratory equipment is often required, depending on the field. Strong communication, problem-solving abilities, and adaptability help you collaborate effectively and navigate new challenges. These skills ensure you can contribute meaningfully to research projects while developing professionally in a real-world setting.

What are some common challenges PhD interns face when transitioning from academia to an industry internship?

PhD interns often encounter challenges adapting to the faster-paced, results-oriented environment of industry compared to academia. Unlike academic research, industry projects typically have strict deadlines and require regular collaboration with cross-functional teams, such as product managers or engineers. Adjusting communication styles, prioritizing tasks based on business impact, and learning new tools or workflows are common hurdles. However, these challenges also provide valuable experience in applying research skills to real-world problems and developing professional networks.

What is a PhD internship?

A PhD internship is a temporary, practical work experience designed specifically for doctoral students. It allows PhD candidates to apply their research skills and academic knowledge in a professional setting outside their university, typically in industry, government, or nonprofit organizations. These internships often help students explore career paths, develop new skills, and build professional networks. They can be paid or unpaid and usually last from a few months to a year, depending on the organization and the nature of the work.

What is the difference between Phd Internship vs Research Assistant?

AspectPhd InternshipResearch Assistant
Required CredentialsEnrolled in PhD program or recent PhD graduateUndergraduate, Master's, or PhD students
Work EnvironmentAcademic labs, research institutions, industry R&DUniversities, research centers, labs
Employer & Industry UsageUniversities, research firms, corporate R&DUniversities, government agencies, private companies

Phd Internships are typically short-term positions for PhD students or recent graduates to gain industry experience, often with a focus on applied research. Research Assistants are usually students or early-career researchers supporting ongoing research projects, often within academic settings. While both roles involve research activities, internships emphasize industry exposure and skill development, whereas research assistantships focus on academic research contributions.

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What cities are hiring for Phd Internship jobs? Cities with the most Phd Internship job openings:
What are the most commonly searched types of Phd jobs? The most popular types of Phd jobs are:
What states have the most Phd Internship jobs? States with the most job openings for Phd Internship jobs include:
What job categories do people searching Phd Internship jobs look for? The top searched job categories for Phd Internship jobs are:
Phd Internship jobs near you
Infographic showing various Phd Internship job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 62% Full Time, 35% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
AI Researcher (PhD Internship)

AI Researcher (PhD Internship)

Summa Linguae Technologies

Austin, TX • On-site

Internship

Posted 4 days ago

Job description

AI Researcher (Part-Time, PhD Student, early-career researcher)
Location: Remote, with conference travel (U.S. or Europe preferred)
Engagement Type: Internship (Parttime)
Department: TECH / R&D
About DATAmundi
DATAmundi builds advanced software solutions that power our localization and data services. We support AI companies and research teams by delivering high-quality datasets, validation workflows, and scalable data processing. Our R&D initiatives explore how modern AI systems - including LLMs, speech models, and multimodal systems - can be evaluated, improved, and safely deployed through structured data and validation methodologies.
We are expanding our R&D activities and seeking researchers to collaborate on applied research and technical outreach within the AI ecosystem.
Role Overview
DATAmundi is seeking a part-time AI Researcher (PhD student, doctoral candidate, or early-career researcher) in areas such as Agentic AI, Machine Learning, Natural Language Processing, or Speech Technologies.
The researcher will report directly to our CTO and contribute to internal research initiatives, co-author technical papers, and help prototype research systems related to machine translation, data validation, evaluation methodologies, and AI model performance. The role also includes technical communication activities such as writing educational technical content and participating in academic and industry conferences.
This position combines applied research, engineering experimentation, and academic engagement with the broader AI research community.
Key Responsibilities:
Research & R&D Contribution
  • Conduct applied research related to AI model evaluation, data quality, and validation methodologies
  • Co-author research papers, technical reports, and whitepapers
  • Implement research prototypes and experimental systems
  • Support internal R&D initiatives in areas such as Agentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, Data-centric AI methodologies
  • Collaborate with the engineering team to translate research ideas into practical workflows

Research System Implementation
  • Develop experimental code and proof-of-concept implementations
  • Work with datasets used for training, evaluation, and benchmarking
  • Design experiments and analyze results
  • Document methodologies and experimental findings

Technical Writing & Knowledge Sharing
  • Write technical blog articles explaining recent advances in AI and ML
  • Translate complex research topics into accessible technical content
  • Support marketing and communications teams with technically accurate material
  • Contribute educational materials and technical explainers

Conference Participation & Outreach
  • Attend academic and industry conferences
  • Engage with researchers from AI companies and academia
  • Discuss research topics, evaluation challenges, and data requirements
  • Identify opportunities for collaboration related to dataset needs and model evaluation
  • Maintain professional follow-up communication after conferences

Required Qualifications
  • Current PhD student, doctoral candidate, or recent graduate in:
  • Machine Learning/Artificial Intelligence/Natural Language Processing/Speech Processing/Computer Science or related field
  • Strong understanding of modern AI models (LLMs, speech models, or multimodal systems)
  • Experience implementing research code in Python
  • Familiarity with common ML frameworks
  • Ability to read and understand academic papers
  • Strong written English skills
  • Interest in applied research and real-world deployment challenges

Desired Skills / Experience
  • Research experience in Agentic AI, LLM evaluation, or model alignment
  • Experience preparing or submitting research papers and technical report
  • Experience working with datasets and benchmarking methodologies
  • Experience with speech datasets or audio processing
  • Experience with prompt engineering or evaluation frameworks
  • Public speaking or academic presentation experience
  • Interest in engaging with the research community

Ideal Profile
The ideal candidate:
  • Is comfortable discussing research topics with other researchers
  • Communicates clearly in technical discussions
  • Is proactive in networking within academic or industry conferences
  • Can represent technical concepts in a professional setting
  • Enjoys bridging academic research and real-world applications

Working Arrangement
  • Part-time engagement (flexible hours)
  • Remote collaboration with periodic meetings
  • Conference attendance (travel to conferences will be funded on relevant events defined with our CTO and Marketing department - e.g. ACL, Interspeech, NeurIPS, etc.)

Success Criteria
The researcher will be successful in this role by:
  • Contributing to research outputs (papers, reports, or prototypes)
  • Supporting internal R&D innovation
  • Producing high-quality technical content
  • Helping identify opportunities where data services can support research and model development
  • Establishing productive relationships within the AI research community
Summa Linguae Technologies logo

About Summa Linguae Technologies

Sourced by ZipRecruiter

Our mission is to spark constant innovation. We enable each other to take full ownership of everything we do. We stay dynamic and challenge ourselves to master new skills—while having fun along the way. At Summa Linguae, we’re passionate about language and technology. We provide data solutions, localization, and managed services to many of the world’s biggest companies.

Industry

Translation services

Company size

51 - 200 Employees

Headquarters location

Westborough, MA, US

Social media

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