CPT AI Data Specialist Jobs
AI Data Specialist jobs on CPT let you apply machine learning, data labeling, and model evaluation work directly to your degree program. Your DSO must authorize each position as an integral part of your curriculum, so roles involving annotation pipelines, training data quality, or AI model benchmarking tend to qualify most cleanly.
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Get Access To All JobsArtificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Artificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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Get Access To All JobsAI Data Specialist CPT: Frequently Asked Questions
Does an AI Data Specialist role qualify for CPT authorization?
Most do, but the qualification depends on your specific program requirements, not the job title alone. Roles involving data annotation, model evaluation, training dataset curation, or AI quality assurance connect directly to computer science, data science, and information systems curricula. Your DSO will confirm authorization based on a written description of your actual duties, so request that from the employer before submitting your CPT request.
Can I do full-time CPT as an AI Data Specialist without affecting OPT eligibility?
You can, but 12 or more months of full-time CPT exhausts your OPT eligibility entirely. Part-time CPT, defined as 20 hours per week or less, does not count against OPT regardless of how long it runs. If you plan to use OPT after graduation, track your full-time CPT months carefully. Your DSO and SEVIS record are the authoritative sources for your running total.
What documents does an AI Data Specialist employer need from me for CPT?
The employer doesn't file anything with USCIS for CPT. Your DSO updates your I-20 to reflect CPT authorization with your employer's name, address, start date, and end date. You provide your authorized I-20 to HR before your first day. Some employers also request your I-94 and a copy of your visa stamp for I-9 verification, but the CPT itself requires no government filing from the employer's side.
How do I find AI Data Specialist jobs where employers already understand CPT hiring?
Migrate Mate shows AI Data Specialist listings from employers with documented work authorization experience, so you're not starting the conversation from zero with a recruiter who's never hired an F-1 student. Employers already familiar with CPT typically have an HR or legal contact who can confirm your start date aligns with your authorized period without delays.
Does CPT work as an AI Data Specialist count toward H-1B specialty occupation requirements?
CPT employment is real, documented work experience in your field and can strengthen an H-1B visa petition by demonstrating progressive responsibility in a specialty occupation. The H-1B requires the role to require at least a bachelor's degree in a directly related field, which AI and data science roles typically satisfy. Keep offer letters, pay stubs, and any performance documentation from your CPT position for your future petition record.