H-1B Visa AI Data Specialist Jobs
AI Data Specialist 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, data science, statistics, or a directly related field. Employers filing H-1B petitions for this role must certify a prevailing wage through DOL before USCIS adjudicates the petition.
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Get Access To All JobsINTRODUCTION
Within the Forward Deployment Engineering (FDE) Unit, the Advisory AI Data Specialist is the data expert who makes customer data ready for AI and GenAI workloads. You focus on removing data bottlenecks so FDE Units can move quickly from concept to live, value-generating AI workloads on Dell infrastructure. You will work with customer teams to map data landscapes, build integrations and pipelines, and configure governance and access controls so that data used in proofs of value is secure, compliant, and scalable to production.
Join us to do the best work of your career and make a profound social impact as an Advisory AI Data Specialist on our Forward Deployment Engineering (FDE) Team in Remote - New England.
What You’ll Achieve
- Lead data readiness assessments to understand what data is available, how it is used, and how it can support AI use cases
- Build and improve data pipelines and integrations that deliver AI-ready data for AI and GenAI workloads
- Design and configure governance and compliance controls that enable secure and compliant use of data for AI
- Help ensure that PoV data flows are designed with production scale, performance, and operations in mind
- Partner with AI Architects, AI Strategists, and customer stakeholders to align data work with overall AI priorities and operating models
You Will:
- Lead data readiness assessments for FDE engagements, including cataloging data assets, ownership, quality, accessibility, and AI suitability
- Perform hands-on data integration and transformation work to prepare AI-ready datasets for PoV and production solutions
- Design and configure data governance and compliance controls (e.g., access control, sensitive data handling, retention, auditability) in line with regulatory and organizational needs
- Define integration patterns and pipelines that deliver AI-ready data with appropriate security, risk, and privacy controls
- Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
- Collaborate closely with AI Architects to align data flows with the AI software stack and avoid data-related blockers
- Work with AI Strategists and customer stakeholders to align data work with AI governance frameworks, operating models, and stewardship processes
- Contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations
- Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices
Essential Requirements
- Typically, 3-8 or more years in data engineering, analytics platforms, or AI data roles within large or complex organizations.
- Experience running data readiness assessments and preparing data for analytics or AI use cases.
- Hands-on skills in building data integrations and ETL/ELT processes and transforming raw data into AI-ready formats.
- Experience configuring data governance and compliance controls for secure and compliant use of data, including sensitive data.
- Proven ability to scale data pipelines from pilot to production while maintaining performance, reliability, and compliance.
- Clear written and verbal communication skills to explain data flows, governance decisions, and operational requirements to technical and non-technical audiences.
- Ability to travel to customer sites and Dell locations as needed, in line with business requirements and applicable laws and Dell policies.
Desirable Requirements
- Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field.
- Experience delivering production data pipelines and integrations for analytics or AI/ML use cases.
- Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns (e.g., feature stores, vectorization, RAG-related data flows).
- Experience collaborating with security, compliance, architecture, and business stakeholders on data and AI initiatives.
Compensation
Dell is committed to fair and equitable compensation practices. The Total Target Compensation range for this position is $249,050 - 322,300, which includes base salary and commissions.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
INTRODUCTION
Within the Forward Deployment Engineering (FDE) Unit, the Advisory AI Data Specialist is the data expert who makes customer data ready for AI and GenAI workloads. You focus on removing data bottlenecks so FDE Units can move quickly from concept to live, value-generating AI workloads on Dell infrastructure. You will work with customer teams to map data landscapes, build integrations and pipelines, and configure governance and access controls so that data used in proofs of value is secure, compliant, and scalable to production.
Join us to do the best work of your career and make a profound social impact as an Advisory AI Data Specialist on our Forward Deployment Engineering (FDE) Team in Remote - New England.
What You’ll Achieve
- Lead data readiness assessments to understand what data is available, how it is used, and how it can support AI use cases
- Build and improve data pipelines and integrations that deliver AI-ready data for AI and GenAI workloads
- Design and configure governance and compliance controls that enable secure and compliant use of data for AI
- Help ensure that PoV data flows are designed with production scale, performance, and operations in mind
- Partner with AI Architects, AI Strategists, and customer stakeholders to align data work with overall AI priorities and operating models
You Will:
- Lead data readiness assessments for FDE engagements, including cataloging data assets, ownership, quality, accessibility, and AI suitability
- Perform hands-on data integration and transformation work to prepare AI-ready datasets for PoV and production solutions
- Design and configure data governance and compliance controls (e.g., access control, sensitive data handling, retention, auditability) in line with regulatory and organizational needs
- Define integration patterns and pipelines that deliver AI-ready data with appropriate security, risk, and privacy controls
- Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
- Collaborate closely with AI Architects to align data flows with the AI software stack and avoid data-related blockers
- Work with AI Strategists and customer stakeholders to align data work with AI governance frameworks, operating models, and stewardship processes
- Contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations
- Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices
Essential Requirements
- Typically, 3-8 or more years in data engineering, analytics platforms, or AI data roles within large or complex organizations.
- Experience running data readiness assessments and preparing data for analytics or AI use cases.
- Hands-on skills in building data integrations and ETL/ELT processes and transforming raw data into AI-ready formats.
- Experience configuring data governance and compliance controls for secure and compliant use of data, including sensitive data.
- Proven ability to scale data pipelines from pilot to production while maintaining performance, reliability, and compliance.
- Clear written and verbal communication skills to explain data flows, governance decisions, and operational requirements to technical and non-technical audiences.
- Ability to travel to customer sites and Dell locations as needed, in line with business requirements and applicable laws and Dell policies.
Desirable Requirements
- Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field.
- Experience delivering production data pipelines and integrations for analytics or AI/ML use cases.
- Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns (e.g., feature stores, vectorization, RAG-related data flows).
- Experience collaborating with security, compliance, architecture, and business stakeholders on data and AI initiatives.
Compensation
Dell is committed to fair and equitable compensation practices. The Total Target Compensation range for this position is $249,050 - 322,300, which includes base salary and commissions.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
See all 51+ H-1B Visa AI Data Specialist Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Data Specialist
Align your degree to the role
USCIS requires your degree field to directly relate to AI Data Specialist duties. If your degree is in a adjacent field like mathematics or information systems, prepare a credential evaluation showing how your coursework maps to data science and machine learning competencies.
Check prevailing wages before negotiating
Use the OFLC Wage Search to look up Level I through Level IV wages for your target job title and work location before you receive an offer. Your certified LCA wage sets a floor the employer cannot go below.
Target employers with active LCA filing history
Search for AI Data Specialist roles on Migrate Mate, which surfaces employers based on verified DOL Labor Condition Application data so you can see which companies have actually filed for this occupation before applying.
Verify the employer's E-Verify enrollment
H-1B employers are required to participate in E-Verify. Confirm enrollment before accepting an offer. An employer not enrolled cannot legally onboard you on H-1B status, and discovering this late in the process wastes your 60-day cap-gap or grace period.
File I-129 with a detailed duties statement
AI Data Specialist is a broad title. Your employer's I-129 petition needs a specific duties statement naming the tools, models, and workflows you'll use. Vague descriptions draw RFEs questioning whether the role meets the specialty occupation standard.
Review your O*NET profile before interviews
The O*NET occupation profile for this role lists the skills, knowledge areas, and tasks USCIS references when evaluating specialty occupation status. Framing your experience in the same language strengthens both your petition and your employer's LCA documentation.
H-1B Visa AI Data Specialist: Frequently Asked Questions
Does an AI Data Specialist role qualify as an H-1B specialty occupation?
Yes. AI Data Specialist roles fall under computer and mathematical occupations, which USCIS consistently recognizes as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, data science, statistics, or applied mathematics. The employer must document that the specific position requires that degree level in the I-129 petition.
Which employers sponsor H-1B visas for AI Data Specialist positions?
Technology companies, financial services firms, healthcare systems, and large enterprise employers with dedicated data or AI teams are the most active H-1B filers for this occupation. Migrate Mate lets you filter AI Data Specialist jobs by employers with verified DOL LCA filing history, so you can focus your search on companies that have already gone through the sponsorship process for this role.
How does the prevailing wage requirement affect AI Data Specialist H-1B petitions?
Before filing the I-129, your employer must obtain a certified LCA from DOL confirming the offered wage meets the prevailing wage for your specific job title, level, and work location. The prevailing wage is determined by DOL's OFLC Wage Search database. Wages at Level I apply to entry-level positions and Level IV to fully competent specialists with significant experience.
Can an employer file an H-1B petition for a remote AI Data Specialist role?
Yes, but the LCA must list every location where you'll physically work for more than 30 consecutive days. If your work location changes after filing, the employer may need to file an amended I-129 with an updated LCA. USCIS has scrutinized remote H-1B petitions where the worksite is ambiguous, so documenting the primary work address accurately at filing matters.
What happens to H-1B status if an AI Data Specialist is laid off?
You have a 60-day grace period from your last day of employment to find a new sponsoring employer, file a change of status, or depart the U.S. The grace period applies once per authorized validity period. If a new employer files an H-1B transfer petition before the 60 days expire, you can begin working for the new employer once USCIS receives the petition.