AI Data Specialist Jobs in USA with Visa Sponsorship
AI Data Specialists are among the most actively sponsored roles in the U.S. right now. Most positions qualify under H-1B visa specialty occupation rules, and employers across tech, finance, and healthcare regularly file LCAs for this title. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
ROLE AND RESPONSIBILITIES
Primary Purpose
As an Senior AI Data Specialist, you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NiCE Enlighten AI’s data solutions. In this capacity, you will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions. You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team’s objectives. Senior AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions. It’s that expertise, along with technical fluency that allow the Enlighten AI data team to build scalable out of the box data structures that dive operational and measurable outcomes. The range of responsibility includes the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for your domain expertise. The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities. As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions. As they gain and maintain system and data expertise, the role will continue to open up for direct client interactions, feedback capture and build plans.
Primary Functions/Responsibilities
- Serve as the (team) focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.).
- Support validations of completed and evolving data structures to ensure high standards for precision and recall are met
- Test evolving tools from Research that support the development of the data structures.
- Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products.
- Work with client requirements to understand new requests and how we can or cannot meet them.
- Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices.
- Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc.
- Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets.
- As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions.
- The discussed Research Toolsets are primarily focused on customized topic and semantic modeling components that provide a system driven approach to defining datapoints that matter within CX interactions.
- AI Data Specialists utilize the output of these tools to create a range of datapoints and provide feedback to improve the accuracy and usability of the system’s outputs.
- AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e. Data Scientists).
BASIC QUALIFICATIONS
Required Education
Bachelors degree in Management, Finance, Business Intelligence / Analytics, or a related field. Masters degree preferred.
Required Experience/Skills
- 7+ years of consultative account/program management experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider
- Experience with use of technology to build and analyze datasets for operational outcomes
- Experience with the development, positioning and quantification of operational recommendations
- Excellent oral and written communication skills in English
- Ability to create and deliver polished presentations using Microsoft PowerPoint to different levels of audience
- Ability to multi-task and meet deadlines when supporting requests that create competing priorities
- Ability to develop and maintain good working relationships with cross-functional teams
- Ability to communicate comfortably across all levels of corporate structure
- Ability to work with sales executives and assist with opportunities as subject matter expert
- Demonstrated ability to take the initiative and work in a self-directed manner
- Ability to thrive in a changing environment
PREFERRED QUALIFICATIONS
- Experience in Management Consulting
This job description is not intended to be all-inclusive, and employee will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.
ABOUT NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
INTRODUCTION
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
ROLE AND RESPONSIBILITIES
Primary Purpose
As an Senior AI Data Specialist, you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NiCE Enlighten AI’s data solutions. In this capacity, you will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions. You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team’s objectives. Senior AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions. It’s that expertise, along with technical fluency that allow the Enlighten AI data team to build scalable out of the box data structures that dive operational and measurable outcomes. The range of responsibility includes the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for your domain expertise. The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities. As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions. As they gain and maintain system and data expertise, the role will continue to open up for direct client interactions, feedback capture and build plans.
Primary Functions/Responsibilities
- Serve as the (team) focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.).
- Support validations of completed and evolving data structures to ensure high standards for precision and recall are met
- Test evolving tools from Research that support the development of the data structures.
- Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products.
- Work with client requirements to understand new requests and how we can or cannot meet them.
- Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices.
- Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc.
- Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets.
- As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions.
- The discussed Research Toolsets are primarily focused on customized topic and semantic modeling components that provide a system driven approach to defining datapoints that matter within CX interactions.
- AI Data Specialists utilize the output of these tools to create a range of datapoints and provide feedback to improve the accuracy and usability of the system’s outputs.
- AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e. Data Scientists).
BASIC QUALIFICATIONS
Required Education
Bachelors degree in Management, Finance, Business Intelligence / Analytics, or a related field. Masters degree preferred.
Required Experience/Skills
- 7+ years of consultative account/program management experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider
- Experience with use of technology to build and analyze datasets for operational outcomes
- Experience with the development, positioning and quantification of operational recommendations
- Excellent oral and written communication skills in English
- Ability to create and deliver polished presentations using Microsoft PowerPoint to different levels of audience
- Ability to multi-task and meet deadlines when supporting requests that create competing priorities
- Ability to develop and maintain good working relationships with cross-functional teams
- Ability to communicate comfortably across all levels of corporate structure
- Ability to work with sales executives and assist with opportunities as subject matter expert
- Demonstrated ability to take the initiative and work in a self-directed manner
- Ability to thrive in a changing environment
PREFERRED QUALIFICATIONS
- Experience in Management Consulting
This job description is not intended to be all-inclusive, and employee will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.
ABOUT NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Data Specialist
Lead with your degree field, not just your degree
Employers filing an H-1B for this role need to show the position requires a specific degree. A background in computer science, statistics, or data science strengthens the specialty occupation argument more than a general STEM degree.
Highlight experience with AI frameworks in your resume
Concrete tools matter for LCA job descriptions. Listing experience with PyTorch, TensorFlow, or large language model pipelines gives employers the specificity they need to write a defensible H-1B job description to submit to USCIS.
Target employers with active LCA filings in AI and data
Not all companies sponsor. Focus on employers with a documented history of filing Labor Condition Applications for data and AI roles. These companies already understand the process and are far less likely to rescind offers over sponsorship complexity.
Use your project portfolio to justify specialty occupation
USCIS scrutinizes AI and data roles more than traditional software engineering positions. A portfolio showing model development, data pipeline architecture, or research contributions helps demonstrate that the role genuinely requires specialized theoretical knowledge.
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Find AI Data Specialist JobsFrequently Asked Questions
Does an AI Data Specialist role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS requires the position to normally require at least a bachelor's degree in a specific specialty. AI Data Specialist roles tied to computer science, statistics, or data science typically satisfy this. The risk arises when a job description is written broadly enough that any STEM degree could qualify, which weakens the specialty occupation argument. Employers and attorneys often tighten job descriptions before filing to reduce this exposure.
What degree do I need for an employer to sponsor me as an AI Data Specialist?
A bachelor's degree or higher in computer science, data science, statistics, mathematics, or a closely related field is the standard requirement. The degree must relate directly to the duties of the role. If your degree is in a tangentially related field, a combination of education and progressive work experience can sometimes substitute, but this requires stronger documentation and is harder to defend at USCIS.
How do I find AI Data Specialist jobs that offer visa sponsorship?
The most efficient approach is to use a platform that filters specifically for sponsorship-willing employers. Migrate Mate is built for exactly this, with AI and data roles sourced from companies that actively file H-1B petitions. Browsing general job boards and filtering manually is significantly slower and often surfaces roles where sponsorship is listed as possible but never confirmed by the employer.
Are H-1B approvals common for AI and data roles, or is there high denial risk?
Approval rates for AI and data roles are generally strong when the job description is well-constructed and the applicant's degree aligns with the position. Denials most often occur when USCIS issues a Request for Evidence questioning whether the role truly requires a specialized degree, or when the employer's job description is too generic. Companies with experienced immigration counsel file better petitions and have lower RFE rates for these roles.
Can I switch employers after my H-1B is approved for an AI Data Specialist position?
Yes. H-1B portability allows you to transfer your visa to a new employer once your current petition has been approved and you've entered valid H-1B status. The new employer must file an H-1B transfer petition before your start date with them. You can begin working for the new employer as soon as the transfer petition is filed and receipt is confirmed, without waiting for full approval.
What is the prevailing wage requirement for sponsored AI Data Specialist 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.
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