STEM OPT AI Jobs
AI roles in machine learning, natural language processing, and computer vision qualify for the STEM OPT 24-month extension if your degree falls under an eligible CIP code. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension begins.
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Get Access To All JobsJob Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
Job Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
See all 187+ STEM OPT AI Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in AI
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the STEM Designated Degree Program List. Computer science, electrical engineering, and statistics degrees typically qualify, but interdisciplinary programs sometimes don't. Confirm with your DSO before targeting STEM OPT roles.
Filter employers by E-Verify enrollment status
STEM OPT is void if your employer isn't enrolled in E-Verify on your start date. Use Migrate Mate to search AI roles filtered by employers with confirmed E-Verify enrollment, so you don't lose authorization after accepting an offer.
Request your I-983 training plan before day one
Your signed I-983 must be in place before USCIS approves your STEM OPT extension. Draft a training plan that maps your AI role's learning objectives to your degree field, and get your employer's signature at least 90 days before your initial OPT expires.
Check prevailing wage before negotiating your offer
AI employers filing LCAs are required to meet DOL prevailing wage standards. Run your target job title and metro area through the OFLC Wage Search before your offer negotiation so you know the wage floor and can flag underpaying offers before accepting.
Use O*NET to match your degree to AI job titles
Specialty occupation determinations hinge on degree-to-role alignment. Look up AI and machine learning job titles on O*NET to confirm the listed education requirement is a specific STEM field, not just 'any bachelor's degree,' which weakens your case for STEM OPT eligibility.
Track cap-gap timing if H-1B is your next step
If your employer files an H-1B visa petition before April 1 and USCIS selects it, cap-gap extends your OPT automatically through September 30. Submit your I-983 renewal and keep your EAD current so there's no gap in authorization during the transition window.
Frequently Asked Questions
Which STEM degrees qualify for the STEM OPT extension in AI roles?
Degrees in computer science, computer engineering, electrical engineering, mathematics, statistics, and data science are the most common qualifying fields for AI jobs. Your degree's CIP code must appear on the USCIS STEM Designated Degree Program List. Interdisciplinary or applied programs sometimes carry CIP codes that aren't on the list, so confirm with your DSO before assuming eligibility.
Does every AI employer need to be enrolled in E-Verify?
Yes. E-Verify enrollment is a legal requirement for all STEM OPT employers, with no exceptions. The enrollment must be active on your first day of work, not just when you sign your offer letter. You can verify an employer's E-Verify status through the E-Verify employer search tool before accepting an offer. Startups and smaller AI labs frequently overlook this requirement, so always check.
What goes into the I-983 training plan for an AI role?
The I-983 must describe the specific AI skills and learning objectives you'll develop, how those objectives connect to your STEM degree field, and how your employer will supervise and evaluate your progress. For machine learning or NLP roles, this means documenting model development workflows, research methodologies, and technical mentorship structures. Both you and a company official must sign the plan before USCIS processes your extension.
How do I find AI employers who are already set up to hire STEM OPT students?
Migrate Mate lists AI roles from employers with verified E-Verify enrollment and prior STEM OPT or H-1B filing history, so you can target companies that have already navigated the compliance process. This saves significant time compared to screening employers manually after receiving offers from companies unfamiliar with the training plan and reporting requirements.
What happens to my STEM OPT if my AI employer gets acquired or changes its E-Verify status?
If your employer's E-Verify enrollment lapses or the company is acquired by a new legal entity that isn't enrolled, your STEM OPT authorization is at risk. You must notify your DSO within five business days and either confirm the successor entity re-enrolls in E-Verify or begin your job search immediately. USCIS treats a gap in E-Verify coverage as a violation of STEM OPT terms.