STEM OPT AI ML Platform Jobs
AI ML Platform roles sit squarely within STEM OPT eligibility, supported by computer science, data science, and engineering degrees. Your initial 12-month OPT extends by 24 months once your employer enrolls in E-Verify and files your I-983 training plan, giving you up to 36 months to build a career in machine learning infrastructure.
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Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables.
The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:
- Handling unique data analysis requests from a range of data customers
- Providing data quality expertise to other team members and coaching improvements
- Delivering high quality work in a fast-paced environment
- Working autonomously with minimum direction
- Building a thorough understanding of conventions and providing support to global sites
- Understanding changes to conventions deployed in response to customers’ requests and modifying workflows accordingly
- Contributing to process improvements to reduce handling time and improve output
- Improving software tools by identifying bugs and suggesting enhancements
- Diving deep into issues and implementing solutions independently
- Proactively addressing issues and problems
- Keeping up with changing project conventions and priorities
Key job responsibilities
- Label, generate, and ensure the quality of datasets.
- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A day in the life
Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the team
The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent
- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, as well as leading a team of peers
- Experience using Microsoft Excel for data analysis, formulae, and data visualization
PREFERRED QUALIFICATIONS
- Experience in computational linguistics, language data processing, semantics, or syntax
- Bachelor's degree in English, Communications, Linguistics, or a related field
- Experience solving basic problems by writing code or scripts with some assistance
- Experience working with large sets of data and deriving practical insights
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development
- Knowledge of UNIX environment and shell scripting
- Interest in pragmatics and conversational design
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, MA, Boston - 21.58 - 37.78 USD hourly
USA, WA, Seattle - 21.58 - 37.78 USD hourly
DESCRIPTION
Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables.
The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:
- Handling unique data analysis requests from a range of data customers
- Providing data quality expertise to other team members and coaching improvements
- Delivering high quality work in a fast-paced environment
- Working autonomously with minimum direction
- Building a thorough understanding of conventions and providing support to global sites
- Understanding changes to conventions deployed in response to customers’ requests and modifying workflows accordingly
- Contributing to process improvements to reduce handling time and improve output
- Improving software tools by identifying bugs and suggesting enhancements
- Diving deep into issues and implementing solutions independently
- Proactively addressing issues and problems
- Keeping up with changing project conventions and priorities
Key job responsibilities
- Label, generate, and ensure the quality of datasets.
- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A day in the life
Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the team
The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent
- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, as well as leading a team of peers
- Experience using Microsoft Excel for data analysis, formulae, and data visualization
PREFERRED QUALIFICATIONS
- Experience in computational linguistics, language data processing, semantics, or syntax
- Bachelor's degree in English, Communications, Linguistics, or a related field
- Experience solving basic problems by writing code or scripts with some assistance
- Experience working with large sets of data and deriving practical insights
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development
- Knowledge of UNIX environment and shell scripting
- Interest in pragmatics and conversational design
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, MA, Boston - 21.58 - 37.78 USD hourly
USA, WA, Seattle - 21.58 - 37.78 USD hourly
See all 268+ STEM OPT AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI ML Platform Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in AI ML Platform
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a STEM-designated field. AI and ML Platform roles most often qualify under CIP codes for computer science, electrical engineering, or applied mathematics. Your DSO can confirm your I-20 reflects the right code.
Check E-Verify status before accepting offers
STEM OPT requires your employer to be enrolled in E-Verify before your extension starts. Search the E-Verify employer search tool by company name to confirm active participation. A company that isn't enrolled can't legally employ you on a STEM OPT extension.
Target platform teams at E-Verify enrolled companies
ML platform and MLOps roles are concentrated at companies running large-scale model infrastructure. Use Migrate Mate to filter AI ML Platform jobs specifically to E-Verify enrolled employers, so you're only applying to companies that can legally support your STEM OPT extension.
Align your I-983 training plan to ML platform work
Your I-983 must connect your STEM degree to your day-to-day platform work. Frame objectives around specific skills like distributed training infrastructure, model deployment pipelines, or feature store architecture. Vague plans get flagged by DSOs and can delay your extension start date.
Use O*NET to anchor your specialty occupation case
Pull the O*NET occupation profile for your target role before you negotiate your offer. ML platform engineers typically fall under Software Developers or Computer and Information Research Scientists, both of which require a bachelor's degree in a specific technical field, which strengthens your OPT-to-H-1B visa transition argument.
File your STEM OPT extension at least 90 days early
USCIS recommends submitting your I-765 extension application up to 90 days before your initial OPT ends. Late filing eliminates the 180-day automatic extension that keeps you authorized while your application is pending. Confirm your exact deadline with your DSO as soon as you accept an offer.
Frequently Asked Questions
Does my STEM degree qualify me for the 24-month STEM OPT extension in an AI ML Platform role?
It depends on your specific degree's CIP code, not just the subject area. Degrees in computer science, electrical engineering, applied mathematics, statistics, and data science are commonly STEM-designated and qualify for the extension. Your DSO confirms eligibility by checking whether your I-20 reflects a CIP code on the STEM Designated Degree Program List published by the Department of Homeland Security. An AI ML Platform role itself doesn't confer eligibility; your degree does.
What E-Verify requirement applies to my employer for STEM OPT?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension begins, not just at the time you accept an offer. Enrollment is required at the specific worksite where you'll be employed. You can verify enrollment using the E-Verify employer search tool before signing anything. If your employer is acquired or restructures after your extension starts, the new legal entity must independently enroll in E-Verify.
What should my I-983 training plan include for an AI ML Platform role?
Your I-983 must describe how the practical training directly relates to your STEM degree and supports your professional development goals. For AI ML Platform roles, this typically means documenting objectives around model deployment systems, data pipeline architecture, distributed computing, or ML infrastructure reliability. Your employer's authorized representative signs the form, and your DSO must receive it before your extension is authorized. Generic job descriptions without degree-field connections are commonly flagged.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM OPT expires and USCIS selects it in the lottery, cap-gap automatically extends your OPT work authorization through September 30 of that year. Your EAD remains valid during this period even if it has expired on its face. USCIS issues a cap-gap extension automatically; no separate application is required. Your DSO can issue an updated I-20 reflecting the cap-gap period.
Where can I find AI ML Platform jobs that are open to STEM OPT candidates?
Use Migrate Mate to search AI ML Platform jobs filtered to employers enrolled in E-Verify, which is the baseline requirement for hiring STEM OPT students. Many job listings don't explicitly state E-Verify enrollment, so filtering by confirmed enrollment saves significant time. Migrate Mate surfaces roles where the employer infrastructure already supports F-1 STEM OPT work authorization, reducing the risk of accepting an offer from a company that can't legally extend your status.