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 JobsWho we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
- Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
- Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
- Influence business actions and strategy by developing actionable insights through metrics and dashboards.
- Drive the collection of new data and the refinement of existing data sources.
- Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Who you are
Minimum requirements
We’re looking for someone who has:
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
- Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
- Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
- Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
- Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
- Influence business actions and strategy by developing actionable insights through metrics and dashboards.
- Drive the collection of new data and the refinement of existing data sources.
- Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Who you are
Minimum requirements
We’re looking for someone who has:
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
- Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
- Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
See all 1,146+ Data Entry jobs
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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 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 jobs are hiring across the US. Find yours.
Find Data Entry JobsData 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.
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