CPT AI Research Engineer Jobs
AI Research Engineer jobs qualify for CPT when the work ties directly to your graduate program in machine learning, computer science, or a related field. Your DSO must authorize each position before you start, and the role must appear in your curriculum as required or elective practical training.
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The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in the Summer or Fall of 2026.
Responsibilities:
NOTE:There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
QUALIFICATIONS
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
MENTAL REQUIREMENTS:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
PHYSICAL REQUIREMENTS AND WORKING CONDITIONS:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
COMPENSATION:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
DATE OF POSTING: 4/24/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/24/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
Overview:
The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in the Summer or Fall of 2026.
Responsibilities:
NOTE:There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
QUALIFICATIONS
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
MENTAL REQUIREMENTS:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
PHYSICAL REQUIREMENTS AND WORKING CONDITIONS:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
COMPENSATION:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
DATE OF POSTING: 4/24/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/24/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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Get Access To All JobsAI Research Engineer CPT: Frequently Asked Questions
Does an AI Research Engineer role qualify for CPT at most universities?
Qualification depends on your program, not the job title. Your degree must include a practical training component, and the role must integrate directly into your coursework or research requirements. Most graduate programs in computer science, electrical engineering, or data science treat AI research positions as eligible, but your DSO makes the final call based on your specific curriculum and the employer's job description.
Can I do CPT at a research lab or startup instead of a large tech company?
Yes. CPT authorization is based on the role's connection to your curriculum, not the employer's size or type. National labs, university-affiliated research centers, and early-stage AI startups all qualify as long as the work aligns with your program and your DSO approves the placement. Startups that lack an established HR process may need more lead time to produce the offer letter your DSO requires.
How do I find AI Research Engineer jobs where employers are open to CPT students?
Search on Migrate Mate, which surfaces employers with a documented history of hiring F-1 students for research and engineering roles. Filtering by role type and work authorization history helps you avoid positions where the recruiter will screen you out before the hiring manager sees your application.
What happens if my CPT role transitions into a full-time offer before I graduate?
A full-time offer before graduation doesn't automatically extend your CPT authorization. If you want to continue working, your DSO needs to issue a new CPT authorization for the updated terms. If the role converts to a post-graduation offer, you'd transition to OPT rather than CPT once you finish your degree and your OPT EAD is approved.
Does the research I do during CPT count toward an eventual H-1B specialty occupation determination?
USCIS evaluates H-1B visa specialty occupation based on whether the role requires at least a bachelor's degree in a specific field at the time of the H-1B petition, not on prior work history. That said, CPT experience in AI research strengthens the employer's position when documenting that the role consistently requires advanced degree-level knowledge, which supports the specialty occupation argument in the I-129 petition.