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Qualitative Research Phd Intern Jobs (NOW HIRING)

Simular

PhD Research Intern

Palo Alto, CA · On-site

What you'll do As a PhD intern, you will: * Collaborate with research scientists to advance methods in: * Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based ...

Nemours

Intern-Research PHD

Wilmington, DE · On-site

... Research Intern to work with Dr. Stephanie Mansse for a temporary, hourly position. This position will assist with active research projects for 5-10 hours per week. * Must be a PhD student About Us ...

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How much do qualitative research phd intern jobs pay per month?

As of Aug 6, 2026, the average monthly pay for qualitative research phd intern in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What does a qualitative research PhD intern do?

A Qualitative Research PhD Intern assists with designing, conducting, and analyzing qualitative research studies, such as interviews, focus groups, and ethnographic observations. They often work under the supervision of experienced researchers, contributing to literature reviews, data collection, transcription, coding, and thematic analysis. Their work helps uncover insights about human behaviors, attitudes, and experiences, which can inform academic publications, policy recommendations, or business strategies. This role provides valuable hands-on experience with research methods and prepares interns for advanced careers in academia, industry, or government.

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

To thrive as a Qualitative Research PhD Intern, you need a solid background in social science research methods, data analysis, and a track record of academic study at the doctoral level. Familiarity with qualitative data analysis software such as NVivo, ATLAS.ti, or Dedoose, as well as experience conducting interviews, focus groups, or ethnographic research, is typically required. Strong analytical thinking, attention to detail, and effective written and verbal communication skills set outstanding candidates apart. These competencies are crucial for producing rigorous, insightful research that informs academic or organizational understanding and decision-making.

What types of projects does a qualitative research PhD intern typically work on, and how do they collaborate with other team members?

Qualitative Research PhD Interns often engage in projects that involve designing and conducting interviews, focus groups, or ethnographic studies to gather in-depth insights on user experiences or behaviors. They work closely with senior researchers, data analysts, designers, and product managers to ensure their findings inform product development or strategic decisions. Collaboration is key, as interns frequently participate in team meetings, present their research, and integrate feedback to improve study designs. This role offers the opportunity to develop practical research skills while contributing directly to impactful projects.
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Infographic showing various Qualitative Research Phd Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

Re-posted 6 days ago

Job description

PhD Intern

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

What you'll do

As a PhD intern, you will:

  • Collaborate with research scientists to advance methods in:
    • Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge)
    • Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models)
    • Reward/judge modeling (e.g. error analysis, human evaluation, training judge models)
    • User intent understanding (e.g. modeling vague queries, preference learning)
  • Contribute to building datasets, running experiments, and benchmarking results
  • Explore novel approaches and help derisk Simular's long-term technical roadmap
  • Document and communicate findings through internal reports or academic-style writing

You might be a fit if

  • Currently pursuing a PhD in Computer Science, Machine Learning, or related field
  • Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
  • Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
  • Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)
  • Curiosity, initiative, and interest in bridging fundamental research with applied AI

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