CPT Research Engineer Jobs
Research Engineer roles in AI, robotics, materials science, and biomedical systems routinely qualify for CPT because the work directly extends graduate lab coursework. Your DSO must authorize CPT before your start date, and the position must be listed in your academic program as integral to your degree requirements.
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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: 6/1/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 8/21/2026, 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: 6/1/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 8/21/2026, 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 JobsResearch Engineer CPT: Frequently Asked Questions
Do Research Engineer roles at private companies qualify for CPT?
Yes, as long as the work is directly related to your major field of study and your school documents it as an integral part of your curriculum. Industry research labs at companies like semiconductor firms or biotech companies qualify just as university labs do. Your DSO determines eligibility based on how the role connects to your coursework, not whether the employer is academic or commercial.
Can I do CPT as a Research Engineer before completing my first year?
CPT requires completing one full academic year in F-1 status before you're eligible, with one exception: if your graduate program requires immediate research work as part of the degree structure, your DSO may authorize CPT before the one-year mark. This applies to some research-track master's and PhD programs where lab rotations begin in the first semester.
Will full-time CPT as a Research Engineer affect my OPT?
Full-time CPT lasting 12 months or more eliminates your OPT eligibility entirely. Part-time CPT, defined as 20 hours or fewer per week, has no effect on OPT regardless of duration. If you're planning a 12-month research fellowship, structure it as part-time or negotiate a break in the authorization period to protect your post-graduation work authorization window.
How do I find Research Engineer roles where employers understand CPT?
Search Migrate Mate for Research Engineer positions filtered by employers with verified H-1B visa and LCA filing history. Employers who have sponsored international employees before are significantly more familiar with CPT documentation requirements and less likely to rescind offers when HR encounters unfamiliar authorization forms from your DSO.
What documentation does a Research Engineer CPT employer typically need?
Your employer needs a copy of your CPT-authorized I-20, which lists their company name, your authorized start and end dates, and whether the authorization is part-time or full-time. Some employers also request your visa stamp and I-94 record for their HR files. Unlike OPT, there's no EAD card for CPT, so the I-20 is your sole work authorization document for that position.