TN Visa AI Data Specialist Jobs
AI Data Specialist roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, giving Canadian and Mexican professionals a cap-free, lottery-free path into U.S. machine learning and data pipeline teams. Your degree in computer science, data science, or a closely related field is the foundation employers will need to document.
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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.
See all 19+ AI Data Specialist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Specialist roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI Data Specialist
Align your credentials to the correct TN category
AI Data Specialist roles file under Computer Systems Analyst, not Engineer or Scientist. Your degree transcript must show coursework in computing or information systems. A mismatch between your credential field and the TN category is the most common documentation mistake that delays offers.
Target employers experienced with visa sponsorship
Search for employers with recent visa filings to find companies experienced with sponsoring work visas in data and machine learning roles. These employers understand visa sponsorship requirements and are less likely to withdraw an offer when you discuss TN eligibility. For TN sponsorship, your employer will prepare a support letter documenting your role, qualifications, and job duties—you'll then present this at the U.S. port of entry (for Canadians) or U.S. consulate (for Mexicans) as part of your TN application.
Use Migrate Mate to filter TN-ready AI roles
Migrate Mate surfaces AI Data Specialist jobs from employers with recent visa filings, so you can skip the cold pitch and focus applications on teams already experienced with work visa sponsorship. Filter by role type and visa category directly.
Clarify Mexican nationals' TN allocation early
Mexican citizens have a 5,500-per-year TN cap, unlike the uncapped Canadian pathway. Confirm the cap's remaining availability for your application year and factor consular processing timelines at a U.S. embassy into your start-date negotiations with employers.
Get your job offer letter to match CBP's required language
CBP officers evaluate TN eligibility at the port of entry for Canadians. Your employer's offer letter must describe specific duties like model development, data pipeline architecture, or algorithm design, not just a generic title. A vague letter is grounds for a TN denial on the spot.
Confirm your employer will sponsor you at the border
The employer will need to prepare a support letter documenting your role and qualifications before you apply for TN status. Ask your recruiter whether their legal team has experience with work visa sponsorship for similar roles. An employer unfamiliar with visa sponsorship processes can delay your start date by weeks.
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Find AI Data Specialist JobsAI Data Specialist TN Visa: Frequently Asked Questions
Does an AI Data Specialist role qualify for TN visa status?
Yes, provided your employer classifies the position under the Computer Systems Analyst TN category and your duties center on designing, analyzing, or implementing AI or data systems. The role title alone doesn't control eligibility. CBP and consular officers look at the actual job duties and your supporting degree credentials, so the offer letter description matters as much as the title.
How does TN compare to H-1B for AI Data Specialist roles?
TN has no lottery, no annual cap for Canadians, and no employer sponsorship petition waiting on USCIS adjudication. You can begin work as soon as CBP approves your entry or a consulate issues your visa. H-1B requires lottery selection, a mandatory April start date, and months of USCIS processing. For qualified Canadian and Mexican professionals, TN is a faster and more predictable path into U.S. AI teams.
What degree do I need to qualify as an AI Data Specialist on a TN visa?
You need at least a bachelor's degree in computer science, data science, information systems, mathematics, or a closely related technical field. A degree in an unrelated discipline, even paired with extensive professional experience in AI, will not satisfy the Computer Systems Analyst education requirement on its own. Canadian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees by CBP.
How do I find employers who will sponsor a TN visa for AI Data Specialist positions?
Search for employers with recent visa filings for data and machine learning roles. Migrate Mate filters AI Data Specialist job listings by employer experience with work visa sponsorship, so you can focus your applications on companies that understand the USMCA process and are more likely to be willing to support your TN application when you discuss it with them.
Can I switch employers on a TN visa without losing my status?
You can change TN employers, but your new employer must support a separate TN authorization before you start. Canadians can obtain approval at a port of entry immediately. Mexican nationals must schedule a new consular appointment. There's no grace period built into the TN category the way the H-1B portability rule works, so coordinate your start dates carefully to avoid a gap in authorized status.
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