Natural Language Processing Jobs in USA with Visa Sponsorship
Natural language processing roles attract strong H-1B visa sponsorship from tech employers because the work requires a highly specific graduate-level background. Most NLP positions qualify as specialty occupations, making visa approval rates relatively high for candidates with the right credentials. For detailed occupation requirements, see the O*NET profile.
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Shape the Future of Human-Machine Interaction
Are you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies.
Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.
Key job responsibilities
We are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems and to communicate research findings clearly. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems.
A day in the life
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling.
- Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.
- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.
- Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail.
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Python, and where applicable, C++ or Java
- Experience with one or more of the following: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning
- Must be available for full-time (40 hours per week) internship for the whole duration of the internship
- Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience implementing algorithms using modern NLP and speech toolkits (e.g. PyTorch, HuggingFace, speech and audio processing frameworks)
- Experience with AI-assisted development tools to accelerate research, coding, or evaluation
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
LOCATION
Seattle, WA, USA - 135,660.00 USD Annually
DESCRIPTION
Shape the Future of Human-Machine Interaction
Are you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies.
Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.
Key job responsibilities
We are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems and to communicate research findings clearly. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems.
A day in the life
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling.
- Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.
- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.
- Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail.
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Python, and where applicable, C++ or Java
- Experience with one or more of the following: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning
- Must be available for full-time (40 hours per week) internship for the whole duration of the internship
- Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience implementing algorithms using modern NLP and speech toolkits (e.g. PyTorch, HuggingFace, speech and audio processing frameworks)
- Experience with AI-assisted development tools to accelerate research, coding, or evaluation
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
LOCATION
Seattle, WA, USA - 135,660.00 USD Annually
See all 15,377+ Natural Language Processing Jobs
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Get Access To All JobsTips for Finding Natural Language Processing Jobs
Target employers with active NLP research teams
Companies running dedicated NLP or AI research divisions file LCAs and H-1B petitions regularly. Established sponsorship infrastructure means faster processing and fewer administrative hurdles compared to employers sponsoring their first technical hire.
Emphasize your graduate-level specialization
NLP roles almost universally require a master's or PhD in computational linguistics, computer science, or a related field. Highlighting thesis work, publications, or specialized coursework strengthens your specialty occupation case and makes sponsorship approval more straightforward.
Align your resume to the LCA job description
Your employer files a Labor Condition Application before sponsoring you. The job duties on that LCA must match your actual role closely. Review the job description carefully and ensure your resume reflects the specific NLP skills and responsibilities listed.
Ask about cap-exempt employer options
Universities, nonprofit research institutions, and government-affiliated labs are exempt from the H-1B lottery cap. NLP researchers at these organizations can receive sponsorship year-round, without waiting for the annual April registration window.
Use OPT STEM extension time strategically
NLP qualifies under CIP codes that support the 24-month STEM OPT extension, giving you up to three years of work authorization post-graduation. Use that window to build a sponsorship track record and improve your H-1B lottery odds.
Document your technical contributions clearly
USCIS scrutinizes NLP roles that sound generalist. Petitions supported by specific project outputs, model benchmarks, or published research demonstrate the specialized nature of the work and reduce the risk of a Request for Evidence.
Frequently Asked Questions
Do NLP jobs qualify as H-1B specialty occupations?
Yes. NLP roles consistently qualify as specialty occupations because they require at minimum a bachelor's degree in a specific technical field, usually computer science, computational linguistics, or artificial intelligence. Most employers require a master's or PhD, which strengthens the specialty occupation argument further and reduces the likelihood of a Request for Evidence from USCIS.
What degree do I need for visa sponsorship in NLP?
Most employers sponsoring NLP roles require a master's degree or PhD in computer science, computational linguistics, artificial intelligence, or a closely related field. A bachelor's degree alone is rarely sufficient for research-focused positions. If your degree title differs from the job field, coursework transcripts and a credential evaluation can help establish equivalency for the H-1B visa petition.
How can I find NLP jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates and filters for employers who actively sponsor work visas. Searching NLP roles on Migrate Mate surfaces positions where sponsorship is confirmed, saving you from applying to employers who won't support an H-1B or other visa petition.
Are there visa options for NLP candidates who don't win the H-1B lottery?
Yes. NLP researchers with a strong publication record or recognized industry contributions may qualify for the O-1A visa, which has no lottery and no annual cap. Cap-exempt employers, including universities and nonprofit research labs, can also sponsor H-1B petitions year-round. Australians in NLP roles have access to the E-3 visa, which is also lottery-free.
How likely is it that an NLP H-1B petition gets approved?
Approval rates for NLP petitions are relatively high compared to more generalist tech roles because the specialty occupation argument is well-supported by degree requirements and the technical specificity of the work. Petitions filed with detailed job duty descriptions and strong educational credentials are less likely to receive a Request for Evidence. Employers with prior NLP sponsorship experience typically know how to structure petitions effectively.
What is the prevailing wage requirement for sponsored Natural Language Processing jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.