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Flexible Remote New Grad Rn Jobs in Tucson, AZ (NOW HIRING)

NCLEX-RN Tutor

Tucson, AZ · Remote

$18 - $40/hr

What We Look For In a NCLEX-RN Tutor * Advanced Test Mastery: Deep knowledge of NCLEX-RN content ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

After completing training, it is a remote position with a work schedule of Monday - Friday 8am ... Through BPN, known nationally as an innovative leader in new health care models, insurance plans ...

Case Manager RN

Tucson, AZ · Remote

$60K - $107K/yr

The RN Care Coordinator is responsible for managing patients attributed to provider practices ... Adaptable, flexible, and able to incorporate frequent process changes into established workflows ...

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Flexible Remote New Grad Rn information

See Tucson, AZ salary details

$22

$28

$39

How much do flexible remote new grad rn jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for flexible remote new grad rn in Tucson, AZ is $28.30, according to ZipRecruiter salary data. Most workers in this role earn between $25.43 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Flexible Remote New Grad Rn vs Entry Level Registered Nurse?

AspectFlexible Remote New Grad RnEntry Level Registered Nurse
CredentialsRN license, recent graduationRN license, recent graduation
Work EnvironmentRemote, flexible hoursHospital, clinic, or healthcare facility
Employer UsageHealthcare organizations offering remote rolesHospitals, clinics, healthcare providers
Search IntentRemote nursing jobs for new gradsEntry-level nursing positions

The Flexible Remote New Grad Rn role is designed for recent nursing graduates seeking remote work opportunities, offering flexibility and telehealth experience. In contrast, Entry Level Registered Nurse positions are typically onsite roles in healthcare facilities. Both require an RN license and are suitable for new graduates, but the remote role emphasizes telehealth skills and flexible scheduling, while the entry-level role focuses on direct patient care in clinical settings.

What job categories do people searching Flexible Remote New Grad Rn jobs in Tucson, AZ look for?

The top searched job categories for Flexible Remote New Grad Rn jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Flexible Remote New Grad Rn jobs?

Cities near Tucson, AZ with the most Flexible Remote New Grad Rn job openings:

Infographic showing various Flexible Remote New Grad Rn job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $58,864 per year, or $28.3 per hour.

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Tucson, AZ • Remote

$51.76 - $77.74/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 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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