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Internship Natural Language Processing Engineer Jobs

This role is for a Generative AI Engineer with a focus on AI/ML, Python, SAP Cloud, and Generative ... Expert knowledge of natural language processing for text generation tasks. * Experience in Digital ...

Signal Processing Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... and natural language processing. * Spectrum monitoring and signal classification using machine ...

Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. Learn new technologies and focus on what you're passionate about. Requirements :: 2+ years experience with ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in ... During your internship, you will have the opportunity to be part of a growing engineering team ...

Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in ... During your internship, you will have the opportunity to be part of a growing engineering team ...

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

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Internship Natural Language Processing Engineer information

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How much do internship natural language processing engineer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for internship natural language processing engineer in the United States is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Internship Natural Language Processing Engineer vs Data Scientist Intern?

AspectInternship Natural Language Processing EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of NLPStatistics, programming, data analysis knowledge
Work EnvironmentTech companies, research labs, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI and NLP-focused roles in tech industryData analysis across various industries

Internship Natural Language Processing Engineer roles focus on developing NLP models and algorithms, requiring knowledge of linguistics and machine learning. Data Scientist Intern positions involve analyzing large datasets to extract insights, often requiring statistical and programming skills. Both internships are common in tech companies but serve different functions within data and AI teams.

More about Internship Natural Language Processing Engineer jobs
What cities are hiring for Internship Natural Language Processing Engineer jobs? Cities with the most Internship Natural Language Processing Engineer job openings:
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:
What states have the most Internship Natural Language Processing Engineer jobs? States with the most job openings for Internship Natural Language Processing Engineer jobs include:

Generative AI Engineer

Prophecy Technologies

Austin, TX • On-site

Full-time

Posted 8 days ago


Job description

Role Overview:
This role is for a Generative AI Engineer with a focus on AI/ML, Python, SAP Cloud, and Generative AI technologies. The position requires expertise in designing, developing, and deploying advanced generative models using deep learning techniques, with a strong emphasis on natural language processing.
Key Responsibilities:
  • Design and develop algorithms for generative models using deep learning techniques.
  • Deploy AI models into production environments.

Required Skills:
  • Proficiency in UI technologies including React.js, Angular.js, and Node.js.
  • Strong Python programming skills.
  • Strong understanding of neural network architectures and optimization techniques.
  • Expert knowledge of natural language processing for text generation tasks.
  • Experience in Digital, Python, and Generative AI.

Qualifications:
  • Minimum of 3-8 years of experience in relevant fields.