Education Jobs in Colorado with F-1 OPT Sponsorship
F-1 OPT sponsorship jobs in Colorado's education sector span K-12 districts, higher education institutions, and edtech companies across Denver, Boulder, and Fort Collins. Major employers include Aurora Public Schools, the University of Colorado system, and Colorado State University. OPT-eligible roles range from instructional design to academic advising, with STEM OPT extensions available for qualifying technology-focused education positions.
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Get Access To All JobsINTRODUCTION
Join Language, Reasoning and Knowledge Lab (LARK) at the forefront of developing and integrating cutting-edge natural language processing (NLP) and artificial intelligence (AI) to revolutionize real-world applications in medicine and health. This role offers a unique opportunity to be part of a pioneering team that develops advanced AI solutions to tackle some of the most pressing challenges in healthcare. As a Data Scientist (NLP/AI) in our lab, you will be instrumental in advancing language technologies that improve the accuracy and efficiency of medical diagnostics, patient care documentation and biomedical scientific discovery. This position not only allows you to contribute to meaningful and transformative projects but also to grow professionally in a dynamic, interdisciplinary environment.
Day-to-day, you will be immersed in a variety of exciting projects, such as enhancing and evaluating large language models (LLMs) for decision-making, optimizing LLM training for low-resource environments, and assessing model explainability. You'll work closely with a team of graduate students, postdocs, and other collaborators to develop innovative AI models, create software tools, and establish robust data processing pipelines. Your contributions will directly impact our ongoing efforts to transform healthcare through AI, making this role crucial to the success of our department and the broader university community.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
- Conduct comprehensive literature reviews to identify existing solutions and their limitations, and develop advanced NLP algorithms for multimodal data.
- Design and conduct experiments to validate hypotheses using applied statistics, clean and preprocess data for model training, and debug code to analyze complex datasets.
- Develop reproducible research pipelines and maintain thorough documentation on GitHub.
- Assist the Principal Investigator (PI) with grant writing and the development of research proposals.
- Present research findings and progress at lab and collaborative meetings, also prepare and submit manuscripts and abstracts for publication in scientific journals and conferences.
- Support lab members and collaborators with research tasks and manage lab logistics, including the lab website and server infrastructure.
- Adhere to responsible conduct of research guidelines, participate in ethics training sessions, and monitor compliance with research ethics.
WORK LOCATION
Hybrid – This role offers a hybrid work arrangement, requiring 3 days per week on University of Colorado, Anschutz campus. The position is based in Aurora, Colorado.
WHY JOIN US
Join the Language, Reasoning and Knowledge (LARK) Lab in the burgeoning Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus—a dynamic and innovative environment where cutting-edge NLP and AI research meets practical medical applications. Collaborate with medical doctors and other healthcare professionals to develop solutions that have immediate and tangible effects on patient care.
As the largest academic health sciences campus in the Rocky Mountain region, CU Anschutz encompasses six health professional schools, over 60 centers and institutes, and two nationally ranked partner hospitals. This vibrant department offers unique opportunities for growth, collaboration, and impact. Our location not only provides unprecedented access to urban amenities and cultural experiences in Denver but also places you minutes away from some of the nation’s best outdoor activities, including hiking in the Rocky Mountains and skiing in Vail and Aspen.
WHY WORK FOR THE UNIVERSITY?
We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:
- Medical: Multiple plan options
- Dental: Multiple plan options
- Additional Insurance: Disability, Life, Vision
- Retirement 401(a) Plan: Employer contributes 10% of your gross pay
- Paid Time Off: Accruals over the year
- Vacation Days: 22/year (maximum accrual 352 hours)
- Sick Days: 15/year (unlimited maximum accrual)
- Holiday Days: 15/year
- Tuition Benefit: Employees have access to this benefit on all CU campuses
- ECO Pass: Reduced rate RTD Bus and light rail service
There are many additional perks & programs with the CU Advantage.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution
- 1 year of related natural language processing and artificial intelligence experience
- An advanced degree (Masters or PhD) may be substituted for experience on a year-for-year basis if the degree is in a field of study directly related to the work assignment.
PREFERRED QUALIFICATIONS
- Masters Degree in Computational Linguistics, Analytics, Search, and Informatics
- Documented open-source contributions
- Experience with NLP/deep learning frameworks such as pytorch and tensorflow
- Experience with NLP state-of-the-art models and agentic workflow (Llama, Claude, LangGraph, etc)
- Experience with training models on GPUs
- Experience working with Unix and/or Linux, including shell scripting
- Experience implementing NLP/AI algorithms and models for real-world applications
KNOWLEDGE, SKILLS, AND ABILITIES (KSA’s)
- Ability to communicate effectively, both in writing and orally
- Ability to document software system, APIs, and codebases clearly
- Ability to design, develop, and maintain scalable software systems for AI and natural language processing applications.
- Ability to establish and maintain effective working relationships with employees at all levels throughout the institution and with geographically distributed collaborators
- Advanced knowledge of NLP and AI principles, including concept in computational linguistics, neural networks, deep learning, searching algorithms
- Advanced knowledge of basic statistical principles relevant in medical research
- Demonstrated proficiency in Python, with a focus on NLP frameworks such as Transformers, SpaCy, and expertise in training large language models (LLMs) on GPUs, including skills of prompting, fine-tuning methodologies such as full fine-tuning, using Adapters, and applying LoRA.
- Experience with biomedical data is a plus, but not a must
- Experience contributing to peer-reviewed publications or open-source technical projects in NLP, or AI systems is a plus
- Ability to interact with people of varying technical levels to gather requirements and understand existing systems relevant to the challenges at hand
- Ability to interact effectively and respectfully in a team with complementary competencies
HOW TO APPLY
For full consideration, please submit the following document(s):
- Curriculum vitae / Resume
- Links to 1-3 source code repositories with open source contributions, if applicable.
- Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address
Questions should be directed to: DBMI.HR, dbmi.hr@cuanschutz.edu
SCREENING OF APPLICATIONS BEGINS
Immediately and continues until 4/6/26
ANTICIPATED PAY RANGE
The starting salary range (or hiring range) for this position has been established as
Intermediate Professional: $80,430-$102,307
The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level.
Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.
EQUAL EMPLOYMENT OPPORTUNITY STATEMENT
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
ADA STATEMENT
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu.
BACKGROUND CHECK STATEMENT
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
VACCINATION STATEMENT
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.
APPLICATION MATERIALS REQUIRED: Cover Letter, Resume/CV, List of References
JOB CATEGORY: Information Technology
PRIMARY LOCATION: Hybrid
DEPARTMENT: U0001 - Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops
SCHEDULE: Full-time
POSTING DATE: Apr 1, 2026
UNPOSTING DATE: Apr 7, 2026, 12:59:00 AM
POSTING CONTACT NAME: DBMI.HR
POSTING CONTACT EMAIL: dbmi.hr@cuanschutz.edu
POSITION NUMBER: 00846350
INTRODUCTION
Join Language, Reasoning and Knowledge Lab (LARK) at the forefront of developing and integrating cutting-edge natural language processing (NLP) and artificial intelligence (AI) to revolutionize real-world applications in medicine and health. This role offers a unique opportunity to be part of a pioneering team that develops advanced AI solutions to tackle some of the most pressing challenges in healthcare. As a Data Scientist (NLP/AI) in our lab, you will be instrumental in advancing language technologies that improve the accuracy and efficiency of medical diagnostics, patient care documentation and biomedical scientific discovery. This position not only allows you to contribute to meaningful and transformative projects but also to grow professionally in a dynamic, interdisciplinary environment.
Day-to-day, you will be immersed in a variety of exciting projects, such as enhancing and evaluating large language models (LLMs) for decision-making, optimizing LLM training for low-resource environments, and assessing model explainability. You'll work closely with a team of graduate students, postdocs, and other collaborators to develop innovative AI models, create software tools, and establish robust data processing pipelines. Your contributions will directly impact our ongoing efforts to transform healthcare through AI, making this role crucial to the success of our department and the broader university community.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
- Conduct comprehensive literature reviews to identify existing solutions and their limitations, and develop advanced NLP algorithms for multimodal data.
- Design and conduct experiments to validate hypotheses using applied statistics, clean and preprocess data for model training, and debug code to analyze complex datasets.
- Develop reproducible research pipelines and maintain thorough documentation on GitHub.
- Assist the Principal Investigator (PI) with grant writing and the development of research proposals.
- Present research findings and progress at lab and collaborative meetings, also prepare and submit manuscripts and abstracts for publication in scientific journals and conferences.
- Support lab members and collaborators with research tasks and manage lab logistics, including the lab website and server infrastructure.
- Adhere to responsible conduct of research guidelines, participate in ethics training sessions, and monitor compliance with research ethics.
WORK LOCATION
Hybrid – This role offers a hybrid work arrangement, requiring 3 days per week on University of Colorado, Anschutz campus. The position is based in Aurora, Colorado.
WHY JOIN US
Join the Language, Reasoning and Knowledge (LARK) Lab in the burgeoning Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus—a dynamic and innovative environment where cutting-edge NLP and AI research meets practical medical applications. Collaborate with medical doctors and other healthcare professionals to develop solutions that have immediate and tangible effects on patient care.
As the largest academic health sciences campus in the Rocky Mountain region, CU Anschutz encompasses six health professional schools, over 60 centers and institutes, and two nationally ranked partner hospitals. This vibrant department offers unique opportunities for growth, collaboration, and impact. Our location not only provides unprecedented access to urban amenities and cultural experiences in Denver but also places you minutes away from some of the nation’s best outdoor activities, including hiking in the Rocky Mountains and skiing in Vail and Aspen.
WHY WORK FOR THE UNIVERSITY?
We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:
- Medical: Multiple plan options
- Dental: Multiple plan options
- Additional Insurance: Disability, Life, Vision
- Retirement 401(a) Plan: Employer contributes 10% of your gross pay
- Paid Time Off: Accruals over the year
- Vacation Days: 22/year (maximum accrual 352 hours)
- Sick Days: 15/year (unlimited maximum accrual)
- Holiday Days: 15/year
- Tuition Benefit: Employees have access to this benefit on all CU campuses
- ECO Pass: Reduced rate RTD Bus and light rail service
There are many additional perks & programs with the CU Advantage.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution
- 1 year of related natural language processing and artificial intelligence experience
- An advanced degree (Masters or PhD) may be substituted for experience on a year-for-year basis if the degree is in a field of study directly related to the work assignment.
PREFERRED QUALIFICATIONS
- Masters Degree in Computational Linguistics, Analytics, Search, and Informatics
- Documented open-source contributions
- Experience with NLP/deep learning frameworks such as pytorch and tensorflow
- Experience with NLP state-of-the-art models and agentic workflow (Llama, Claude, LangGraph, etc)
- Experience with training models on GPUs
- Experience working with Unix and/or Linux, including shell scripting
- Experience implementing NLP/AI algorithms and models for real-world applications
KNOWLEDGE, SKILLS, AND ABILITIES (KSA’s)
- Ability to communicate effectively, both in writing and orally
- Ability to document software system, APIs, and codebases clearly
- Ability to design, develop, and maintain scalable software systems for AI and natural language processing applications.
- Ability to establish and maintain effective working relationships with employees at all levels throughout the institution and with geographically distributed collaborators
- Advanced knowledge of NLP and AI principles, including concept in computational linguistics, neural networks, deep learning, searching algorithms
- Advanced knowledge of basic statistical principles relevant in medical research
- Demonstrated proficiency in Python, with a focus on NLP frameworks such as Transformers, SpaCy, and expertise in training large language models (LLMs) on GPUs, including skills of prompting, fine-tuning methodologies such as full fine-tuning, using Adapters, and applying LoRA.
- Experience with biomedical data is a plus, but not a must
- Experience contributing to peer-reviewed publications or open-source technical projects in NLP, or AI systems is a plus
- Ability to interact with people of varying technical levels to gather requirements and understand existing systems relevant to the challenges at hand
- Ability to interact effectively and respectfully in a team with complementary competencies
HOW TO APPLY
For full consideration, please submit the following document(s):
- Curriculum vitae / Resume
- Links to 1-3 source code repositories with open source contributions, if applicable.
- Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address
Questions should be directed to: DBMI.HR, dbmi.hr@cuanschutz.edu
SCREENING OF APPLICATIONS BEGINS
Immediately and continues until 4/6/26
ANTICIPATED PAY RANGE
The starting salary range (or hiring range) for this position has been established as
Intermediate Professional: $80,430-$102,307
The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level.
Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.
EQUAL EMPLOYMENT OPPORTUNITY STATEMENT
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
ADA STATEMENT
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu.
BACKGROUND CHECK STATEMENT
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
VACCINATION STATEMENT
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.
APPLICATION MATERIALS REQUIRED: Cover Letter, Resume/CV, List of References
JOB CATEGORY: Information Technology
PRIMARY LOCATION: Hybrid
DEPARTMENT: U0001 - Anschutz Med Campus or Denver - 21925 - SOM-BIOMED Informatics Gen Ops
SCHEDULE: Full-time
POSTING DATE: Apr 1, 2026
UNPOSTING DATE: Apr 7, 2026, 12:59:00 AM
POSTING CONTACT NAME: DBMI.HR
POSTING CONTACT EMAIL: dbmi.hr@cuanschutz.edu
POSITION NUMBER: 00846350
Job Roles in Education in Colorado
See all 1,269+ Education Colorado jobs
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Get Access To All JobsFrequently Asked Questions
Which education companies and institutions sponsor F-1 OPT visas in Colorado?
Colorado's largest F-1 OPT sponsors in education include the University of Colorado Boulder, Colorado State University, Aurora Public Schools, Denver Public Schools, and Cherry Creek School District. Edtech companies headquartered or operating in Denver, such as those in the Colorado Technology Association network, have also filed OPT-related work authorization support. Sponsorship patterns vary by role, department, and hiring cycle, so it's worth researching individual employer OPT histories.
Which cities in Colorado have the most education F-1 OPT sponsorship jobs?
Denver has the highest concentration of education OPT sponsorship jobs in Colorado, driven by Denver Public Schools, metro-area charter networks, and edtech employers. Boulder follows closely, anchored by the University of Colorado Boulder and several education-focused startups. Fort Collins is a strong secondary market through Colorado State University. Colorado Springs also has opportunities through the University of Colorado Colorado Springs and local K-12 districts.
What types of education roles typically qualify for F-1 OPT sponsorship in Colorado?
Roles that commonly qualify include instructional designer, curriculum developer, academic advisor, educational data analyst, e-learning specialist, and research associate positions at universities. STEM-designated programs at Colorado institutions allow eligible graduates to apply for a 24-month STEM OPT extension, which is particularly relevant for education technology, learning analytics, and research roles. Direct classroom teaching positions in K-12 schools often involve different authorization pathways and may require state licensure.
How do I find education F-1 OPT sponsorship jobs in Colorado?
Migrate Mate is built specifically for F-1 OPT job seekers and lets you filter by visa type, industry, and state, so you can browse education roles in Colorado that have a history of OPT sponsorship. Rather than sorting through general job boards where sponsorship status is unclear, Migrate Mate surfaces employers in Colorado's education sector who have supported international candidates. This saves significant time during the OPT authorization window.
Are there any Colorado-specific considerations for F-1 OPT sponsorship in education?
Colorado's education hiring is heavily concentrated around the academic calendar, with most university and K-12 district roles posted between February and May for fall starts. F-1 OPT students should account for the 90-day unemployment limit when timing applications relative to their OPT start date. Colorado also has a growing edtech sector along the Denver-Boulder corridor, where STEM OPT extensions may apply to roles involving learning platforms, data analysis, or instructional technology development.
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