STEM OPT AI Intern Jobs
AI Intern roles qualify for STEM OPT when your degree falls under an eligible CIP code in computer science, data science, or a related STEM field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build hands-on AI experience while maintaining F-1 status.
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About the Role
We are looking for an AI Reseacher to join our growing AI team and help build intelligent, production-grade AI systems that solve complex problems at scale.
In this role, you will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.
The ideal candidate is hands-on, highly curious, and comfortable working across the full AI development lifecycle—from experimentation and prototyping to production deployment and optimization.
A Day in the Life
- You take an idea from paper to prototype to production. If you have only ever done one of those three, this role will stretch you, and we are fine with that if the rest is strong.
- You can build the model layer of a real product, not just a model. That means choosing model sizes, composing several models into a working system, and holding a product-level accuracy bar.
- You write real code. Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow.
- You design experiments. You state the hypothesis, run the ablation, and report the result that disagrees with you.
- You measure things. You are suspicious of results that look good, and you build the eval before you build the model.
- You read current research and can tell the difference between a technique that will hold up and one that will not.
- You explain your work to people who are not AI engineers, including clinicians and operators who will tell you when your output is wrong.
What You Need
- MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with substantial research or open-source work will be considered.
- Depth beyond coursework: first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; a research internship at an AI lab; or models you trained and shipped that people actually used.
- You have fine-tuned an open-weight model yourself, understand the difference between parameter-efficient and full fine-tuning, and can explain why you chose one.
- Strong Python and PyTorch. Familiarity with the current training and serving stack (HuggingFace, FSDP or DeepSpeed, vLLM or SGLang, or equivalents).
- Some exposure to multi-GPU training, even at lab scale. You should know what a sharding strategy is and why it matters.
- Evidence you can finish things.
We offer competitive benefits to set you up for success in and outside of work.
Here’s What We Offer
- Generous PTO Benefits: Enjoy PTO benefit accrual of 20 days per year.
- Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
- Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
- Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.
Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare.
Description
About the Role
We are looking for an AI Reseacher to join our growing AI team and help build intelligent, production-grade AI systems that solve complex problems at scale.
In this role, you will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.
The ideal candidate is hands-on, highly curious, and comfortable working across the full AI development lifecycle—from experimentation and prototyping to production deployment and optimization.
A Day in the Life
- You take an idea from paper to prototype to production. If you have only ever done one of those three, this role will stretch you, and we are fine with that if the rest is strong.
- You can build the model layer of a real product, not just a model. That means choosing model sizes, composing several models into a working system, and holding a product-level accuracy bar.
- You write real code. Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow.
- You design experiments. You state the hypothesis, run the ablation, and report the result that disagrees with you.
- You measure things. You are suspicious of results that look good, and you build the eval before you build the model.
- You read current research and can tell the difference between a technique that will hold up and one that will not.
- You explain your work to people who are not AI engineers, including clinicians and operators who will tell you when your output is wrong.
What You Need
- MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with substantial research or open-source work will be considered.
- Depth beyond coursework: first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; a research internship at an AI lab; or models you trained and shipped that people actually used.
- You have fine-tuned an open-weight model yourself, understand the difference between parameter-efficient and full fine-tuning, and can explain why you chose one.
- Strong Python and PyTorch. Familiarity with the current training and serving stack (HuggingFace, FSDP or DeepSpeed, vLLM or SGLang, or equivalents).
- Some exposure to multi-GPU training, even at lab scale. You should know what a sharding strategy is and why it matters.
- Evidence you can finish things.
We offer competitive benefits to set you up for success in and outside of work.
Here’s What We Offer
- Generous PTO Benefits: Enjoy PTO benefit accrual of 20 days per year.
- Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
- Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
- Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.
Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare.
See all 283+ STEM OPT AI Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Intern Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Intern
Confirm your CIP code covers AI work
Check your degree's Classification of Instructional Programs code against the DHS STEM OPT designated degree list before applying. Computer science, data science, and statistics CIP codes typically qualify, but applied mathematics or information systems codes vary by program.
Verify E-Verify enrollment before accepting offers
Ask your recruiter for the company's E-Verify Company ID or confirm enrollment directly through the E-Verify employer search. An employer not enrolled in E-Verify cannot legally employ you on STEM OPT, regardless of how far along you are in the hiring process.
Build your I-983 training plan around AI deliverables
Work with your hiring manager to document specific learning objectives tied to your AI internship tasks, such as model training pipelines, data labeling workflows, or evaluation frameworks. USCIS reviewers look for concrete skill development, not generic job descriptions, in your training plan.
Target startups with E-Verify through Migrate Mate
Many early-stage AI companies that would hire interns aren't listed on traditional employer databases. Search Migrate Mate to find AI intern roles filtered for E-Verify-enrolled employers, saving you the step of manually vetting each company before applying.
Research prevailing wages for your AI internship level
Use the OFLC Wage Search to look up the prevailing wage for your internship's SOC code and location before negotiating compensation. Employers filing training plans under STEM OPT must pay you a wage that doesn't displace U.S. workers, and knowing the range strengthens your position.
File your STEM OPT extension at least 90 days early
Submit your STEM OPT extension application to USCIS no later than 90 days before your initial OPT EAD expires. Filing late forfeits your cap-gap protection and can create an authorization gap even if your new employer has already started onboarding.
Frequently Asked Questions
Does an AI Intern role qualify for the STEM OPT extension?
Yes, if your underlying degree is on the DHS STEM OPT designated degree list and the AI Intern position requires you to apply knowledge from that field. Computer science, data science, and electrical engineering degrees commonly qualify. Your DSO confirms eligibility by matching your degree's CIP code to the approved list before recommending the extension on your I-20.
What E-Verify requirement applies to my AI Intern employer?
Every employer who hires a STEM OPT student must be enrolled in E-Verify, the federal employment eligibility verification program administered by DHS. You can confirm enrollment by asking the employer for their E-Verify Company ID or searching the E-Verify employer database directly. Working for a non-enrolled employer invalidates your STEM OPT authorization, even if your EAD is still valid.
What goes into the I-983 training plan for an AI internship?
The I-983 requires your employer to identify specific learning objectives, the supervision structure, and how the internship relates to your STEM degree. For an AI internship, this typically means documenting skills like machine learning model development, data pipeline design, or AI evaluation methods. Both you and your employer sign the form, and your DSO must receive it before your extension is approved.
How does cap-gap protection apply if I'm an AI Intern on STEM OPT?
If your employer files an H-1B visa petition on your behalf and you're selected in the lottery before your STEM OPT EAD expires, cap-gap automatically extends your work authorization through September 30 of the fiscal year the H-1B takes effect. You can continue your AI internship or any authorized OPT employment during this period without interruption, as long as the petition remains pending or approved.
Where can I find AI Intern roles open to STEM OPT students?
Browse Migrate Mate to find AI Intern postings from employers already enrolled in E-Verify. Filtering for STEM OPT-eligible roles saves time compared to manually confirming E-Verify status for each company. You can also cross-reference the O*NET occupation profile for AI and machine learning roles to understand which job titles and SOC codes align with your degree for training plan purposes.