H-1B Visa Nlp Engineer Jobs
NLP Engineer roles qualify as H-1B visa specialty occupations under the computer and mathematical occupations category, requiring at least a bachelor's degree in computer science, computational linguistics, or a related field. Employers filing H-1B petitions for NLP engineers must certify a prevailing wage through a DOL Labor Condition Application before USCIS adjudicates the petition.
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Get Access To All JobsINTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
ROLE AND RESPONSIBILITIES
The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects.
The successful candidate will have a strong background in NLP and AI, with an emphasis on text, information retrieval, information extraction, and/or associated principles of knowledge representation and ontological design. The successful candidate will be comfortable contributing to research and design in addition to supporting team members in the ongoing maintenance of existing systems. Strong technical skills are required, as the successful candidate must be able to deliver solutions for use in a production environment.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary responsibilities include the enhancement of existing company NLP technologies and extension of those systems to new applications. Emphasis is placed on the augmentation of various clinical knowledge resources (lexicons, nomenclatures, hierarchies, ontologies, and rule systems) underlying the core NLP and AI modules. Emphasis is also placed on evaluation of the performance of those components on clinical documentation at scale in production environments. Work includes the generation and interpretation of domain/solution analytics, and, in collaboration with engineering, enhancement of the underlying NLP modules and functionality. Primary responsibilities also include direct support of team members in the maintenance of company NLP systems for production environments and resolution of internal and external customer issues. Work will involve all aspects of software design and development from system requirements definition to implementation, integration and testing.
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
BASIC QUALIFICATIONS
- 4+ years of related professional work experience - significant academic NLP development experience will be considered for strong applicants with advanced degree
- 4+ years of experience in linguistic processes
- 3+ years of experience in algorithms and techniques within a computational domain with emphasis on text processing
- 3+ years of experience with natural language processing or formal linguistics: morphology, syntax and semantics
- 3+ years of experience with at least 2 of the following: Python, Java, C#
- 3+ years of experience in SQL
- 3+ years of experience integrating Copilot with GitHub or similar AI-assisted development tools to improve productivity and code quality
- 3+ years of experience with modern software development and DevOps ecosystems, such as:
- GitHub (version control, pull requests, code reviews)
- CI/CD pipelines and automated build/deployment workflows
- 3+ years of experience working with integrated development environments and tools such as:
- Eclipse, Visual Studio
- Artifact repositories such as Artifactory/JFrog
- 3+ years of experience building, deploying, and maintaining containerized images in scalable production environments
PREFERRED QUALIFICATIONS
- Degree in Linguistics, Computer Science, or other Computational discipline
- Exposure to LLMs & prompting
- Experience with ontologies
- Experience in medical coding or medical terminology
- Graduate degree
- Experience with modern AI development tools and applied AI engineering workflows
- All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $72,800 to $130,000 annually based on full-time employment
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location, and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
INTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
ROLE AND RESPONSIBILITIES
The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects.
The successful candidate will have a strong background in NLP and AI, with an emphasis on text, information retrieval, information extraction, and/or associated principles of knowledge representation and ontological design. The successful candidate will be comfortable contributing to research and design in addition to supporting team members in the ongoing maintenance of existing systems. Strong technical skills are required, as the successful candidate must be able to deliver solutions for use in a production environment.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary responsibilities include the enhancement of existing company NLP technologies and extension of those systems to new applications. Emphasis is placed on the augmentation of various clinical knowledge resources (lexicons, nomenclatures, hierarchies, ontologies, and rule systems) underlying the core NLP and AI modules. Emphasis is also placed on evaluation of the performance of those components on clinical documentation at scale in production environments. Work includes the generation and interpretation of domain/solution analytics, and, in collaboration with engineering, enhancement of the underlying NLP modules and functionality. Primary responsibilities also include direct support of team members in the maintenance of company NLP systems for production environments and resolution of internal and external customer issues. Work will involve all aspects of software design and development from system requirements definition to implementation, integration and testing.
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
BASIC QUALIFICATIONS
- 4+ years of related professional work experience - significant academic NLP development experience will be considered for strong applicants with advanced degree
- 4+ years of experience in linguistic processes
- 3+ years of experience in algorithms and techniques within a computational domain with emphasis on text processing
- 3+ years of experience with natural language processing or formal linguistics: morphology, syntax and semantics
- 3+ years of experience with at least 2 of the following: Python, Java, C#
- 3+ years of experience in SQL
- 3+ years of experience integrating Copilot with GitHub or similar AI-assisted development tools to improve productivity and code quality
- 3+ years of experience with modern software development and DevOps ecosystems, such as:
- GitHub (version control, pull requests, code reviews)
- CI/CD pipelines and automated build/deployment workflows
- 3+ years of experience working with integrated development environments and tools such as:
- Eclipse, Visual Studio
- Artifact repositories such as Artifactory/JFrog
- 3+ years of experience building, deploying, and maintaining containerized images in scalable production environments
PREFERRED QUALIFICATIONS
- Degree in Linguistics, Computer Science, or other Computational discipline
- Exposure to LLMs & prompting
- Experience with ontologies
- Experience in medical coding or medical terminology
- Graduate degree
- Experience with modern AI development tools and applied AI engineering workflows
- All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $72,800 to $130,000 annually based on full-time employment
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location, and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
See all 787+ H-1B Visa Nlp Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Nlp Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Nlp Engineer
Verify your degree supports specialty occupation
USCIS scrutinizes NLP roles when your degree is in a broad field like information systems. Pull the O*NET profile for NLP or machine learning engineers and confirm your transcripts show coursework directly tied to that occupation code.
Target employers with active LCA filing history
Search Migrate Mate to filter NLP Engineer roles by employers who have filed Labor Condition Applications for this occupation. LCA history confirms the employer has navigated H-1B sponsorship before, cutting your risk of a first-timer filing error.
Understand how your role title affects wage levels
DOL assigns prevailing wages by SOC code and experience tier. An NLP Engineer titled 'Research Scientist' may land at a higher wage level than 'Software Engineer II,' affecting your offer negotiation. Use the OFLC Wage Search to check the level your job description maps to.
Document proprietary model work for RFE defense
USCIS increasingly issues Requests for Evidence on NLP roles, questioning whether the work is truly specialized. Before filing, build a paper trail: architecture diagrams, model cards, and peer-review citations that show your day-to-day tasks require graduate-level NLP expertise.
Negotiate cap-exempt employer options before the lottery
Universities, nonprofit research labs, and certain government contractors are cap-exempt, meaning you can start any time without waiting for the October 1 start date. If you're on OPT and your registration isn't selected, a cap-exempt NLP role lets you stay in status immediately.
Align your start date with cap-gap protection
If your F-1 OPT expires before October 1 after a successful H-1B lottery selection, cap-gap automatically extends your work authorization. Your employer must file the I-129 before your OPT end date, so confirm their filing timeline well before that deadline.
H-1B Visa Nlp Engineer: Frequently Asked Questions
Does an NLP Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS classifies NLP Engineer positions under computer and mathematical occupations, which routinely satisfy the specialty occupation standard because the work theoretically and practically requires at least a bachelor's degree in computer science, computational linguistics, or a directly related field. Employers strengthen petitions by mapping job duties to graduate-level NLP tasks such as transformer architecture design, corpus annotation methodology, or low-resource language modeling.
How do employers determine the prevailing wage for an H-1B NLP Engineer petition?
Employers use the DOL's OFLC Wage Search to identify the prevailing wage for your SOC code, experience level, and work location before certifying the Labor Condition Application. NLP Engineers often map to the software developers or computer research scientists SOC code depending on duties, and the wage level assigned affects what the employer must pay. You can verify expected wage levels yourself using the OFLC Wage Search before negotiating an offer.
Which employers are most likely to sponsor H-1B visas for NLP Engineer roles?
Technology companies building conversational AI, search, and language model products file the highest volume of H-1B LCAs for NLP-related occupations. Academic medical centers, financial services firms building document processing tools, and defense contractors also sponsor regularly. Migrate Mate filters NLP Engineer roles by verified LCA filing history so you can identify employers who have sponsored this specific occupation, not just tech employers broadly.
Can I switch employers mid-H-1B if I get a better NLP Engineer offer?
Yes. Under H-1B portability rules established by AC21, you can change employers once you've been in H-1B status for at least 180 days and your new employer files an H-1B transfer petition before your current status expires. Your work authorization continues while the transfer petition is pending. The new employer must file a fresh LCA at the prevailing wage for your new work location, which matters if you're moving between high- and lower-cost metro areas.
What happens to my H-1B status if my NLP Engineer role is eliminated in a layoff?
You enter a 60-day grace period from your last day of employment, during which you can find a new sponsor, change to a different nonimmigrant status, or depart the U.S. Your former employer is responsible for the cost of return transportation to your home country under USCIS regulations. During those 60 days, a new employer can file an H-1B transfer petition and you can begin working once it's filed, not just approved, if you have at least 180 days of prior H-1B time.