H-1B Visa AI Research Scientist Jobs
AI Research Scientist roles qualify as H-1B visa specialty occupations under the computer and mathematical sciences category, requiring at least a bachelor's degree in a directly related field. Most positions at research labs, tech companies, and universities fall under SOC code 15-2051, and many employers file premium processing to meet competitive hiring timelines.
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Get Access To All JobsINTRODUCTION
Design and build the knowledge infrastructure that powers Gallup's most ambitious AI initiatives.
As an AI research scientist at Gallup, you will shape AI systems built on some of the richest behavioral datasets in the world. If you bring the rigor of a researcher and the instincts of a systems thinker, and you want to design what doesn't yet exist, you'll thrive in Gallup Labs.
About Gallup Labs
Gallup Labs is the internal research and incubation engine at Gallup, where the world's most important questions about human behavior meet at the intersection of research and technology. We work on problems that don't have clear road maps: building novel knowledge architectures from decades of behavioral data, designing AI systems that surface talent signals and prototyping the next generation of human-centered intelligence tools for a variety of markets.
- Design, prototype and evaluate applied AI systems for knowledge representation, retrieval and agentic reasoning
- Build knowledge architectures that combine knowledge graphs, vector databases, RAG pipelines and hybrid retrieval approaches for behavioral and scientific data
- Own core retrieval infrastructure, including ontology design, schema design, embeddings, indexing, LLM-based extraction, entity resolution, graph storage and query patterns
- Translate ambiguous research questions into clear technical approaches, experiments and working systems
- Create evaluation frameworks for reasoning quality, retrieval accuracy, scalability and real-world impact
- Partner with researchers, product leaders and technologists to integrate knowledge systems into larger AI workflows and communicate architectural decisions clearly
- Stay current on applied AI research and identify techniques that can strengthen Gallup's AI capabilities
What Makes You Stand Out
- Entrepreneurial mindset: You are relentlessly curious about what could exist, spot unmet needs and take ownership of turning technical possibility into systems that create measurable value.
- Systems thinking: You instinctively see how technical components interact, anticipate failure modes and design and test architectures that are resilient and adaptable.
- Architectural creativity: You evaluate trade-offs across graph, vector and hybrid systems and are energized by inventing new combinations when standard approaches fall short.
BASIC QUALIFICATIONS
Required
- Bachelor's degree in computer science, data science, applied mathematics, cognitive science or a related quantitative field, plus two years of experience, or an advanced degree in ML, NLP, information science or computational social science
- Experience building applied AI systems, knowledge architectures or advanced data systems in industry, research or comparable settings
- Strong hands-on experience with knowledge graphs, including ontology and schema design, extraction pipelines, graph storage and traversal
- Experience using LLMs for structured extraction of entities, relations and attributes
- Experience designing advanced retrieval systems and evaluating reasoning and extraction quality
- Strong Python skills and fluency with modern AI development stacks such as LangChain, LangGraph or LlamaIndex
- A commitment to working on-site at Gallup's Omaha office at least three days per week
Preferred
- Experience turning research ideas into production-ready AI systems
- Hands-on experience with agentic workflows, including multi-step reasoning, tool use and planner/executor patterns
- Ability to build lightweight service layers and interfaces, such as FastAPI, to inspect and evaluate extraction and retrieval quality
- Advanced experience with entity resolution, graph learning or hybrid database architectures that combine graph, vector and relational systems
- Experience with major cloud AI ecosystems such as Azure OpenAI, AWS Bedrock, GCP Vertex or comparable self-hosted solutions
About Gallup
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.
Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates' wellbeing. We also offer an estimated annual salary range of $165,000-$225,000 for this role. Salaries are based on a variety of factors, including an individual's education, experience and skills.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
To review Gallup's Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
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LI-KW1
INTRODUCTION
Design and build the knowledge infrastructure that powers Gallup's most ambitious AI initiatives.
As an AI research scientist at Gallup, you will shape AI systems built on some of the richest behavioral datasets in the world. If you bring the rigor of a researcher and the instincts of a systems thinker, and you want to design what doesn't yet exist, you'll thrive in Gallup Labs.
About Gallup Labs
Gallup Labs is the internal research and incubation engine at Gallup, where the world's most important questions about human behavior meet at the intersection of research and technology. We work on problems that don't have clear road maps: building novel knowledge architectures from decades of behavioral data, designing AI systems that surface talent signals and prototyping the next generation of human-centered intelligence tools for a variety of markets.
- Design, prototype and evaluate applied AI systems for knowledge representation, retrieval and agentic reasoning
- Build knowledge architectures that combine knowledge graphs, vector databases, RAG pipelines and hybrid retrieval approaches for behavioral and scientific data
- Own core retrieval infrastructure, including ontology design, schema design, embeddings, indexing, LLM-based extraction, entity resolution, graph storage and query patterns
- Translate ambiguous research questions into clear technical approaches, experiments and working systems
- Create evaluation frameworks for reasoning quality, retrieval accuracy, scalability and real-world impact
- Partner with researchers, product leaders and technologists to integrate knowledge systems into larger AI workflows and communicate architectural decisions clearly
- Stay current on applied AI research and identify techniques that can strengthen Gallup's AI capabilities
What Makes You Stand Out
- Entrepreneurial mindset: You are relentlessly curious about what could exist, spot unmet needs and take ownership of turning technical possibility into systems that create measurable value.
- Systems thinking: You instinctively see how technical components interact, anticipate failure modes and design and test architectures that are resilient and adaptable.
- Architectural creativity: You evaluate trade-offs across graph, vector and hybrid systems and are energized by inventing new combinations when standard approaches fall short.
BASIC QUALIFICATIONS
Required
- Bachelor's degree in computer science, data science, applied mathematics, cognitive science or a related quantitative field, plus two years of experience, or an advanced degree in ML, NLP, information science or computational social science
- Experience building applied AI systems, knowledge architectures or advanced data systems in industry, research or comparable settings
- Strong hands-on experience with knowledge graphs, including ontology and schema design, extraction pipelines, graph storage and traversal
- Experience using LLMs for structured extraction of entities, relations and attributes
- Experience designing advanced retrieval systems and evaluating reasoning and extraction quality
- Strong Python skills and fluency with modern AI development stacks such as LangChain, LangGraph or LlamaIndex
- A commitment to working on-site at Gallup's Omaha office at least three days per week
Preferred
- Experience turning research ideas into production-ready AI systems
- Hands-on experience with agentic workflows, including multi-step reasoning, tool use and planner/executor patterns
- Ability to build lightweight service layers and interfaces, such as FastAPI, to inspect and evaluate extraction and retrieval quality
- Advanced experience with entity resolution, graph learning or hybrid database architectures that combine graph, vector and relational systems
- Experience with major cloud AI ecosystems such as Azure OpenAI, AWS Bedrock, GCP Vertex or comparable self-hosted solutions
About Gallup
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.
Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates' wellbeing. We also offer an estimated annual salary range of $165,000-$225,000 for this role. Salaries are based on a variety of factors, including an individual's education, experience and skills.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
To review Gallup's Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
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LI-KW1
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Research Scientist
Verify your degree meets specialty occupation
Your degree field must directly relate to AI research, not just computer science broadly. A PhD in statistics or cognitive science can qualify, but you'll need to document the connection to your specific role in the H-1B petition.
Search LCA filings by occupation code
Use Migrate Mate to filter employers by H-1B Labor Condition Application filings under SOC code 15-2051. This shows you which companies have actively sponsored AI Research Scientist roles, not just tech companies that sponsor H-1Bs generally.
Target cap-exempt employers for faster timelines
Universities, nonprofit research institutions, and government research organizations are cap-exempt, meaning they can file your H-1B petition any time of year without waiting for the April lottery. This matters if your OPT or other status expires soon.
Confirm prevailing wage level before negotiating
Look up your offered role's wage level using the OFLC Wage Search before finalizing your offer. Employers must certify your salary meets the DOL prevailing wage for your location and job duties, and Level I wages are frequently challenged for research positions.
Prepare publications and project documentation early
USCIS scrutinizes AI Research Scientist petitions for specialty occupation eligibility. Gather published papers, conference presentations, patent filings, and technical reports before your employer files. Strong evidence of specialized research output reduces RFE risk significantly.
Ask about premium processing at the offer stage
Many AI Research Scientist offers are time-sensitive because employers are competing for the same candidates. USCIS premium processing upgrades standard adjudication to 15 business days. Clarify whether your employer includes this in the sponsorship package before you sign.
H-1B Visa AI Research Scientist: Frequently Asked Questions
Does an AI Research Scientist role qualify as an H-1B specialty occupation?
Yes. AI Research Scientist positions fall under the computer and mathematical occupations category and require at least a bachelor's degree in a directly related field such as computer science, mathematics, or statistics. USCIS evaluates whether the specific job duties require theoretical and practical application of highly specialized knowledge, which most research-focused AI roles satisfy.
Which types of employers sponsor H-1B visas for AI Research Scientists?
Technology companies, national laboratories, university research departments, and AI-focused startups are the most active sponsors. Cap-exempt employers like universities and nonprofit research institutions can file outside the annual lottery window, which is a meaningful advantage. You can browse verified sponsoring employers on Migrate Mate, filtered by occupation code and filing history.
How does the H-1B lottery affect AI Research Scientist candidates at for-profit companies?
For-profit employers must enter the annual H-1B lottery, with registrations typically opening in March for an October 1 start date. Selection is not guaranteed. Candidates with a U.S. master's degree or higher get a second chance in the advanced-degree pool, which modestly improves selection odds. If not selected, some candidates pivot to cap-exempt roles to bridge the gap.
What documentation strengthens an H-1B petition for an AI Research Scientist?
Published research papers, conference proceedings, patents, technical reports, and letters from collaborators all support the specialty occupation argument. USCIS looks for evidence that the role requires a specific body of highly specialized knowledge. A strong job description that ties research duties to degree requirements is as important as your personal credentials.
Can I switch employers during H-1B status as an AI Research Scientist?
Yes. Under H-1B portability rules, you can start working for a new employer once they file a non-frivolous H-1B transfer petition, without waiting for approval. The new employer must file a fresh LCA with DOL and submit a new I-129 petition to USCIS. Your job duties and salary at the new employer must still meet specialty occupation and prevailing wage requirements.