OPT AI Jobs
AI jobs on OPT are widely available across tech, research, and enterprise sectors, but your 90-day unemployment limit means you can't afford a slow search. Many AI roles at larger companies qualify for STEM OPT extension, giving you up to three years of work authorization without an H-1B visa.
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Get Access To All JobsINTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
INTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
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Get Access To All JobsTips for Finding OPT Sponsorship in AI
Target STEM-designated programs first
Your F-1 degree field determines STEM OPT eligibility. Computer science, data science, and electrical engineering are all STEM-designated. Confirm your CIP code with your DSO before applying so you know your actual authorization window.
Prioritize employers enrolled in E-Verify
STEM OPT extension requires your employer to be enrolled in E-Verify. Ask recruiters early in the process. Large tech companies are almost universally enrolled, but startups vary and you need to confirm before accepting an offer.
Frame your research experience in product terms
AI hiring managers want engineers who ship, not just researchers who publish. Translate your thesis or lab work into product outcomes: model accuracy improvements, inference latency reductions, or dataset scale. Concrete metrics move you past resume screens.
Apply before your OPT start date approaches
Background checks and onboarding at larger companies routinely take four to six weeks. Start your search at least three months before your current authorization expires. Cutting it close creates gaps that are difficult to resolve without jeopardizing your status.
Understand the 90-day unemployment rule across roles
Part-time AI consulting or contract work counts toward employment under OPT, but unpaid research does not. If you take a short-term contract between full-time roles, track those days carefully. Your DSO can help you calculate cumulative unemployment accurately.
Match your job title to your degree field
USCIS scrutinizes whether your role is directly related to your degree. A software engineering title is harder to connect to a biology degree than an AI research title is. Work with your DSO to document the connection before your employer files the I-983.
AI OPT: Frequently Asked Questions
Can I work in AI on standard OPT before applying for the STEM extension?
Yes. Standard OPT gives you 12 months of work authorization after graduation, and AI roles qualify as long as the position is directly related to your degree field. If your degree is STEM-designated, you can apply for the 24-month STEM extension before your standard OPT expires, giving you up to three years total.
What AI job titles are most likely to qualify for STEM OPT extension?
Roles with titles like machine learning engineer, AI research scientist, data scientist, computer vision engineer, and NLP engineer consistently qualify when tied to a STEM degree. The title itself matters less than the job duties and degree connection. Your employer will document the relationship on Form I-983, so the role description needs to clearly reflect your field of study.
Where can I find AI employers who are open to hiring OPT students?
Migrate Mate is built specifically for F-1 OPT and international students, with AI jobs filtered by sponsorship willingness and E-Verify status. Searching there saves significant time compared to filtering through general job boards that don't surface work authorization details upfront.
Does contract or freelance AI work count as valid OPT employment?
Yes, self-employment and contract work are permitted under OPT as long as the work is directly related to your degree. You must work at least 20 hours per week to avoid accruing unemployment days. For STEM OPT, self-employment is technically allowed but the I-983 training plan requirement makes it complex to fulfill in practice.
What happens if my AI job offer falls through while I'm on OPT?
You have 90 cumulative days of unemployment allowed during standard OPT, and an additional 60 days during the STEM extension. If a job offer falls through, notify your DSO immediately and begin searching again. Days accrue from your OPT start date regardless of whether you were actively employed, so timing matters significantly.