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Remote Intern Nlp Jobs (NOW HIRING)

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

Remote/United States About Us Wealth.com is the industry's leading estate planning platform ... Train, finetune and deploy large-scale NLP and CV models to power complex document understanding ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Research experience in NLP, generative AI, or related fields, including publications or conference ...

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$8

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How much do remote intern nlp jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for remote intern nlp in the United States is $17.04, 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 Remote Intern NLP positions?

Remote Intern NLP positions are internship roles focused on Natural Language Processing (NLP) that can be performed from any location, usually online. These positions allow interns to work on projects involving machine learning, text analysis, language modeling, and other NLP tasks while collaborating with teams virtually. Remote NLP interns often assist with research, data annotation, model development, and testing of language-based AI systems. These positions are ideal for students or early-career professionals interested in gaining practical experience in NLP without commuting to a physical office.

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

To thrive as a Remote Intern in NLP, you need a strong background in computer science, statistics, and linguistics, usually supported by coursework or experience in natural language processing and machine learning. Familiarity with Python, popular NLP libraries (such as NLTK, spaCy, or Hugging Face), and version control systems like Git is typically required. Strong communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote environment. These competencies ensure you can contribute meaningfully to NLP projects, adapt to distributed teams, and advance your technical abilities.

What are some common challenges faced by remote NLP interns, and how can they overcome them?

Remote NLP interns often encounter challenges such as limited face-to-face mentorship, difficulty accessing large datasets, and the need to collaborate effectively across time zones. To overcome these, interns should proactively communicate with their mentors, participate in regular virtual meetings, and make use of collaborative tools like GitHub and Slack. Establishing a clear schedule and setting measurable goals can also help interns stay on track and feel connected to their team, ensuring a productive remote internship experience.
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Remote Intern Nlp jobs near you
Infographic showing various Remote Intern Nlp job openings in the United States as of July 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Data Science Intern | Fully Remote US

HireVue Inc

Sandy, UT • On-site, Remote

Part-time

Posted 10 days ago

Job description

Company Description
Hirevue is where hiring happens - transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue's end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.
Job Description
As a Data Science Intern, you will support ongoing research initiatives that keep our enterprise products and our clients' hiring processes on the absolute cutting edge and leverage machine learning to shape the future of hiring.
Partnering closely with our world-class data scientists and cross-functional partners in Product Science and Product and Technology, you will have the opportunity to build, validate, and scale machine learning models and agentic workflows. You will also conduct applied research on systems and processes to continuously advance our natural language processing (NLP) and ethical AI capabilities.
Essential Duties and Responsibilities
Applied Research & Modeling
  • Support ongoing research initiatives that keep us on the cutting edge, including in agentic workflow development
  • Work with machine learning models to build products and conduct research
  • Write code to develop prototypes and utilities to extend or improve our product suite

Data Preparation & Quality
  • Drive the preparation of data used to train deep learning models and score unstructured data
  • Assure quality of our software in terms of content, scoring, and functionality
  • Performance modeling and data analysis

Qualifications
Required
  • Bachelor's degree required, with a Master's degree or PhD in progress in a quantitative/programming field (Computer Science, Statistics, Mathematics, Engineering, Psychology, Economics, Data Science, or related)
  • Understanding of statistics, machine learning, and deep learning fundamentals
  • Proficiency in Python, including common ML libraries (e.g., numpy, pandas, scikit-learn)
  • Experience with version control (e.g., Git)
  • Ability to analyze large datasets and draw meaningful, actionable insights
  • Strong problem-solving skills - able to synthesize information from multiple sources to solve problems
  • Team player with strong collaboration and communication skills; comfortable working closely with data scientists, engineers, and I/O Psychologists
  • Self-motivated and able to work effectively with limited supervision; strong prioritization skills

Preferred
  • Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI
  • Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning, agentic design patterns, agentic evaluation methods)
  • Familiarity with SQL and database querying
  • Familiarity with cloud platforms (AWS preferred) for ML workflows

Additional Information
All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go.
Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.
Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.
Hirevue is NOT currently hiring in:
AK, HI, IA, ME, MS, NM or WV.
#remote-us

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