J-1 Visa Data Entry Jobs
Data Entry roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Intern or Trainee program category, depending on your education and career stage. A State Department-designated sponsor organization issues your DS-2019, while your U.S. employer serves as the host site for structured, skills-based training.
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Get Access To All JobsSummary: The Center for Telemedicine and AI‑Fortified Precision Digital Health at the University of Arizona seeks a postdoctoral fellow to develop and validate predictive models that fuse serial multimodal remote patient monitoring signals. The fellow will lead research on transformer‑based architectures and advanced biomedical signal processing to predict clinical trajectories from wearables, vital sign monitors, patient‑reported outcomes, and voice biomarkers. This is a full‑time, research‑focused appointment with opportunities for collaboration across clinical, engineering, and data science teams.
Key Responsibilities
- Research and Model Development: Design, implement, and evaluate transformer and other sequence models for longitudinal, multimodal patient monitoring data.
- Signal Processing: Preprocess and extract features from physiological waveforms and sensor streams including ECG, PPG, accelerometry, respiratory signals, and audio.
- Multimodal Fusion: Develop methods to fuse heterogeneous inputs such as continuous sensor streams, intermittent vital signs, PROs, and voice biomarkers into unified predictive representations.
- Validation and Deployment: Rigorously validate models using held‑out cohorts, cross‑site datasets, and clinically meaningful endpoints; collaborate with engineers to prototype reproducible pipelines for deployment and prospective testing.
- Collaboration and Communication: Work closely with clinicians, device engineers, and regulatory experts; present results at conferences and prepare manuscripts for peer‑reviewed journals.
- Data Governance: Ensure compliance with data security, privacy, and regulatory requirements for protected health information.
Preferred Qualifications
- Prior experience with clinical datasets and remote patient monitoring deployments.
- Familiarity with cloud platforms and scalable data pipelines for streaming or batch processing.
- Knowledge of regulatory and privacy frameworks relevant to clinical data, including HIPAA.
- Skills in statistical methods for longitudinal data, survival analysis, and uncertainty quantification.
- Experience with explainability and fairness techniques for clinical AI models.
- Software engineering best practices including version control, testing, and containerization.
Position Details and Benefits
- Appointment length: Typical initial appointment is two years with potential renewal based on performance and funding.
- Mentorship: Direct mentorship from the Center Director and access to multidisciplinary collaborators across clinical and engineering departments.
- Resources: Access to compute resources, annotated clinical datasets, device integration support, and funding for conference travel.
- Compensation and benefits: Competitive salary and full institutional benefits consistent with postdoctoral appointments.
Pay: $68,000.00 - $84,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Relocation assistance
- Tuition reimbursement
Work Location: In person
Summary: The Center for Telemedicine and AI‑Fortified Precision Digital Health at the University of Arizona seeks a postdoctoral fellow to develop and validate predictive models that fuse serial multimodal remote patient monitoring signals. The fellow will lead research on transformer‑based architectures and advanced biomedical signal processing to predict clinical trajectories from wearables, vital sign monitors, patient‑reported outcomes, and voice biomarkers. This is a full‑time, research‑focused appointment with opportunities for collaboration across clinical, engineering, and data science teams.
Key Responsibilities
- Research and Model Development: Design, implement, and evaluate transformer and other sequence models for longitudinal, multimodal patient monitoring data.
- Signal Processing: Preprocess and extract features from physiological waveforms and sensor streams including ECG, PPG, accelerometry, respiratory signals, and audio.
- Multimodal Fusion: Develop methods to fuse heterogeneous inputs such as continuous sensor streams, intermittent vital signs, PROs, and voice biomarkers into unified predictive representations.
- Validation and Deployment: Rigorously validate models using held‑out cohorts, cross‑site datasets, and clinically meaningful endpoints; collaborate with engineers to prototype reproducible pipelines for deployment and prospective testing.
- Collaboration and Communication: Work closely with clinicians, device engineers, and regulatory experts; present results at conferences and prepare manuscripts for peer‑reviewed journals.
- Data Governance: Ensure compliance with data security, privacy, and regulatory requirements for protected health information.
Preferred Qualifications
- Prior experience with clinical datasets and remote patient monitoring deployments.
- Familiarity with cloud platforms and scalable data pipelines for streaming or batch processing.
- Knowledge of regulatory and privacy frameworks relevant to clinical data, including HIPAA.
- Skills in statistical methods for longitudinal data, survival analysis, and uncertainty quantification.
- Experience with explainability and fairness techniques for clinical AI models.
- Software engineering best practices including version control, testing, and containerization.
Position Details and Benefits
- Appointment length: Typical initial appointment is two years with potential renewal based on performance and funding.
- Mentorship: Direct mentorship from the Center Director and access to multidisciplinary collaborators across clinical and engineering departments.
- Resources: Access to compute resources, annotated clinical datasets, device integration support, and funding for conference travel.
- Compensation and benefits: Competitive salary and full institutional benefits consistent with postdoctoral appointments.
Pay: $68,000.00 - $84,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Relocation assistance
- Tuition reimbursement
Work Location: In person
See all 484+ J-1 Visa Data Entry Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Data Entry Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Data Entry
Align your training plan to data workflows
Before applying, map your existing data entry skills to a structured training objective. Trainee and Intern DS-2019 applications require a detailed plan showing measurable learning goals, not just task lists. Vague objectives like 'gain U.S. work experience' get rejected by designated sponsors.
Verify your program category eligibility early
If you're currently enrolled in a degree program, you qualify for the Intern category. If you've graduated within the past 12 months, you qualify for Trainee. Misidentifying your category delays DS-2019 issuance and can void your host employer's offer letter.
Search for host employers on Migrate Mate
Use Migrate Mate to find U.S. employers actively listing Data Entry roles that align with J-1 visa sponsorship. Filtering by role and structure saves time compared to cold-applying to companies unfamiliar with the host-employer model.
Confirm the host employer understands their obligations
Your host employer must sign a training plan and agree to designated sponsor oversight and site visits. Many small businesses aren't aware of these requirements. Confirm this before accepting an offer, or you'll need to restart the placement process.
Check whether your role triggers the two-year rule
Some J-1 participants from countries with exchange agreements, or those funded by government grants, must return home for two years before changing status. Review your DS-2019 and consular stamp carefully before planning any post-program immigration steps in the U.S.
Document your data proficiency for the sponsor review
Designated sponsors evaluate whether your background supports the proposed training. Prepare records showing software proficiency, typing speeds, database tools used, and any formal credentials. Generic resumes without role-specific documentation slow or stall sponsor approval of your DS-2019.
Data Entry J-1 Visa: Frequently Asked Questions
Which J-1 program category covers Data Entry roles?
Current degree students use the Intern category, which is designed for experiential learning tied to their field of study. Recent graduates and early-career professionals within 12 months of graduation use the Trainee category. Both require a structured training plan signed by the host employer and approved by a State Department-designated sponsor before the DS-2019 is issued.
Who actually sponsors my J-1 visa for a Data Entry position?
The visa sponsor is not your employer. It's a U.S. Department of State-designated organization, such as Cultural Vistas, AIPT, or CIEE, that issues your DS-2019 form, monitors your training plan, and ensures program compliance. Your U.S. employer is the host site. You need both: a host willing to employ you and a designated sponsor to administer the visa.
How do I find U.S. employers open to hosting a J-1 Data Entry trainee?
Many U.S. employers are unfamiliar with the host-employer model and won't advertise J-1 openings by default. Migrate Mate filters roles by visa compatibility, helping you identify Data Entry positions at employers already structured to work with J-1 participants, saving time and avoiding offers that fall through due to sponsor requirements.
Can I stay in the U.S. after my J-1 Data Entry program ends?
You get a 30-day grace period after your program end date to prepare for departure or pursue a status change. If your DS-2019 carries a two-year home residency requirement, you must return home before applying for most other U.S. visas or adjusting status. Check your DS-2019 and your consular stamp for the two-year rule notation before making plans.
Does my Data Entry training plan need to specify software or systems?
Yes. Designated sponsors require that training plans identify specific tools, platforms, and measurable outcomes, not just job duties. For Data Entry, this means naming the database software, spreadsheet systems, data management platforms, or quality-control processes you'll train on. Vague plans are a common reason sponsors delay or reject DS-2019 applications at the review stage.