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Internship Remote Think Tank Jobs in Reno, NV (NOW HIRING)

Internship Remote Think Tank information

See Reno, NV salary details

$9

$17

$23

How much do internship remote think tank jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship remote think tank in Reno, NV is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 per hour, depending on experience, location, and employer.

What is a remote internship at a think tank?

A remote internship at a think tank is a temporary, project-based position where interns contribute to research, analysis, and policy work from a remote location rather than working on-site. Interns may assist with tasks such as data collection, literature reviews, report writing, and event planning, all while collaborating with staff through digital platforms. These internships offer valuable experience in policy research, networking opportunities, and an understanding of the inner workings of think tanks, all without the need to relocate.

What kinds of projects or tasks can I expect to work on during a remote internship at a think tank?

As a remote intern at a think tank, you can expect to be involved in a variety of research-based projects such as literature reviews, data collection and analysis, drafting policy briefs, and assisting with event planning or outreach. Interns frequently collaborate with research fellows and policy analysts, contributing to ongoing studies or publications. The work environment is typically collaborative and fast-paced, with regular virtual meetings and mentorship. You'll also gain exposure to the policy development process and may have opportunities to attend webinars or virtual networking events.

What are the key skills and qualifications needed to thrive as an Internship Remote Think Tank participant, and why are they important?

To thrive as an intern at a remote think tank, you need strong analytical, research, and critical thinking skills, preferably supported by relevant academic coursework in fields such as political science, economics, or public policy. Familiarity with data analysis software, collaboration platforms like Slack or Zoom, and proficiency in Microsoft Office or Google Workspace are typically required. Excellent written and verbal communication, adaptability, and self-motivation distinguish top interns in this remote environment. These skills are essential for producing high-quality research, collaborating effectively in virtual teams, and contributing valuable insights to the think tank's mission.

What is the difference between Internship Remote Think Tank vs Research Intern?

AspectInternship Remote Think TankResearch Intern
CredentialsTypically students or early-career professionals, no specific certifications requiredSimilar, often students or recent graduates in related fields
Work EnvironmentRemote, collaborative, policy or idea-drivenRemote or on-site, focused on data collection and analysis
Industry UsageThink tanks, policy institutes, research organizationsUniversities, research labs, organizations conducting studies

While both roles involve research and analysis, an Internship Remote Think Tank emphasizes policy or idea development in a remote, collaborative setting, often within think tanks. A Research Intern may focus more on data collection and analysis, with a broader range of research environments. Both are entry-level roles suited for students or recent graduates interested in research careers.

What are popular job titles related to Internship Remote Think Tank jobs in Reno, NV? For Internship Remote Think Tank jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Internship Remote Think Tank jobs in Reno, NV look for? The top searched job categories for Internship Remote Think Tank jobs in Reno, NV are:
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Sparks, NV • Remote

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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