Green Card AI Specialist Jobs
AI Specialist roles at U.S. companies qualify for EB-2 sponsorship when the position requires an advanced degree in computer science, machine learning, or a related field, and EB-3 for bachelor's-level candidates. Employers file PERM labor certification with DOL before petitioning USCIS, permanently sponsoring you for lawful U.S. residency.
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Get Access To All JobsINTRODUCTION
We are seeking an AI Research Specialist in Computational Biology to join our efforts, working at the intersection of AI-driven data science and experimental biology. The successful candidate will carry complex, heterogeneous biological datasets from analysis and interpretation through to the interactive tools that enable scientists and autonomous systems to act on the results.
The scope of this position is intentionally broad. Rather than owning a narrow stage of an established pipeline, the successful candidate will lead end-to-end projects, moving between analysis, engineering, and interface design as each project requires. Representative work includes mapping functional biological terms and ontologies to one another using data science techniques and surfacing the results in purpose-built visualizations; developing dashboards used by our group and our external collaborators to monitor data streaming from our automated laboratory, backed by an API that allows AI agents to engage with and autonomously drive the lab; and performing multimodal analysis of video captured from microfluidic devices during live experiments.
Fluency in co-working with AI is a defining requirement of this role. The successful candidate will use large language models as a core element of their daily practice, enabling a single scientist to deliver at a scale that would otherwise require a team. Demonstrated ability to direct, evaluate, correct, and build upon AI-generated work is essential.
CORE RESPONSIBILITIES
- Lead complex biological data analysis projects from framing through delivery, applying data science and AI techniques to extract meaningful patterns, trends, and variables from large and heterogeneous datasets.
- Design and build interactive dashboards that allow scientists to visualize, explore, manipulate, and curate biological data.
- Build and maintain the full-stack platforms and backend infrastructure that support those dashboards.
- Develop APIs and data pipelines that expose laboratory data and analysis results to both human collaborators and autonomous AI systems.
- Apply embedding-based approaches — across natural language, biological sequence, and other modalities — to problems where they offer analytical leverage.
- Work directly with experimental scientists to understand their goals, elicit requirements, and translate them into working tools and analyses.
- Communicate complex results to technical and non-technical audiences in a form they can grasp quickly.
POSITION REQUIREMENTS
Required:
- Minimum of a Bachelor's degree in computational biology, bioinformatics, data science, computer science, or a closely related field.
- Biology domain expertise: A background in biology sufficient to reason independently about biological data and to engage substantively with experimental scientists.
- Python: Demonstrated proficiency as a primary working language for data science and application development.
- Data science: Experience analyzing complex, heterogeneous datasets to identify important trends, relationships, and variables of interest.
- Visual dashboard development: Demonstrated experience building dashboards for data analysis, visualization, and curation by human users.
- Backend and API development: Experience building the backend services and APIs that support data-facing applications.
- Data embeddings: A working understanding of how embedding technology functions and the ability to apply it creatively across domains — including language embeddings and protein sequence embeddings.
- Co-working with AI: Practical experience using large language models as a primary tool for building software and conducting analysis.
- Collaboration and communication: The ability to present complex results clearly and quickly to varied audiences, and to work with scientists to elicit and understand their underlying needs.
- Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.
Preferred:
- Experience with multimodal data analysis on biological datasets, working across data modalities (e.g., imaging or video alongside structured or sequence data).
- Experience with laboratory automation, instrument data streams, or agent-driven experimental systems.
- Prior work supporting research groups or scientific collaborators in a service or partnership capacity.
- Familiarity with genome annotation, metabolic modeling, or systems biology (e.g., KBase, ModelSEED, KEGG).
JOB FAMILY
Research Development (RD)
JOB PROFILE
Computational Science 1
WORKER TYPE
Long-Term (Fixed Term)
TIME TYPE
Full time
COMPENSATION
- The expected hiring range for this position is $78,505.00 - $122,467.41.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
INTRODUCTION
We are seeking an AI Research Specialist in Computational Biology to join our efforts, working at the intersection of AI-driven data science and experimental biology. The successful candidate will carry complex, heterogeneous biological datasets from analysis and interpretation through to the interactive tools that enable scientists and autonomous systems to act on the results.
The scope of this position is intentionally broad. Rather than owning a narrow stage of an established pipeline, the successful candidate will lead end-to-end projects, moving between analysis, engineering, and interface design as each project requires. Representative work includes mapping functional biological terms and ontologies to one another using data science techniques and surfacing the results in purpose-built visualizations; developing dashboards used by our group and our external collaborators to monitor data streaming from our automated laboratory, backed by an API that allows AI agents to engage with and autonomously drive the lab; and performing multimodal analysis of video captured from microfluidic devices during live experiments.
Fluency in co-working with AI is a defining requirement of this role. The successful candidate will use large language models as a core element of their daily practice, enabling a single scientist to deliver at a scale that would otherwise require a team. Demonstrated ability to direct, evaluate, correct, and build upon AI-generated work is essential.
CORE RESPONSIBILITIES
- Lead complex biological data analysis projects from framing through delivery, applying data science and AI techniques to extract meaningful patterns, trends, and variables from large and heterogeneous datasets.
- Design and build interactive dashboards that allow scientists to visualize, explore, manipulate, and curate biological data.
- Build and maintain the full-stack platforms and backend infrastructure that support those dashboards.
- Develop APIs and data pipelines that expose laboratory data and analysis results to both human collaborators and autonomous AI systems.
- Apply embedding-based approaches — across natural language, biological sequence, and other modalities — to problems where they offer analytical leverage.
- Work directly with experimental scientists to understand their goals, elicit requirements, and translate them into working tools and analyses.
- Communicate complex results to technical and non-technical audiences in a form they can grasp quickly.
POSITION REQUIREMENTS
Required:
- Minimum of a Bachelor's degree in computational biology, bioinformatics, data science, computer science, or a closely related field.
- Biology domain expertise: A background in biology sufficient to reason independently about biological data and to engage substantively with experimental scientists.
- Python: Demonstrated proficiency as a primary working language for data science and application development.
- Data science: Experience analyzing complex, heterogeneous datasets to identify important trends, relationships, and variables of interest.
- Visual dashboard development: Demonstrated experience building dashboards for data analysis, visualization, and curation by human users.
- Backend and API development: Experience building the backend services and APIs that support data-facing applications.
- Data embeddings: A working understanding of how embedding technology functions and the ability to apply it creatively across domains — including language embeddings and protein sequence embeddings.
- Co-working with AI: Practical experience using large language models as a primary tool for building software and conducting analysis.
- Collaboration and communication: The ability to present complex results clearly and quickly to varied audiences, and to work with scientists to elicit and understand their underlying needs.
- Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.
Preferred:
- Experience with multimodal data analysis on biological datasets, working across data modalities (e.g., imaging or video alongside structured or sequence data).
- Experience with laboratory automation, instrument data streams, or agent-driven experimental systems.
- Prior work supporting research groups or scientific collaborators in a service or partnership capacity.
- Familiarity with genome annotation, metabolic modeling, or systems biology (e.g., KBase, ModelSEED, KEGG).
JOB FAMILY
Research Development (RD)
JOB PROFILE
Computational Science 1
WORKER TYPE
Long-Term (Fixed Term)
TIME TYPE
Full time
COMPENSATION
- The expected hiring range for this position is $78,505.00 - $122,467.41.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Specialist
Document your AI credentials before applying
Gather transcripts, publications, patents, and performance reviews that map directly to the DOL's specialty occupation definition. PERM audits frequently target AI roles because job duties can overlap with general software engineering, so concrete documentation of machine learning specialization strengthens your case.
Target employers with active PERM filings
Search the DOL PERM disclosure data for companies that have certified AI Specialist or Machine Learning Engineer positions in the past two years. Recent PERM approvals in your exact role category signal that a company already has the internal process and legal support to sponsor you.
Use Migrate Mate to filter green card sponsoring roles
Search AI Specialist jobs on Migrate Mate and filter by EB-2 or EB-3 sponsorship availability. This surfaces employers who have confirmed green card sponsorship history, saving you from applying to companies whose recruiters will later say sponsorship isn't available for your level.
Clarify sponsorship scope during offer negotiation
Ask specifically whether the offer includes PERM labor certification and I-140 filing, not just H-1B visa transfer. Some employers sponsor temporary status but decline to initiate green card proceedings, and you want that commitment in writing before you accept and give notice to your current employer.
Verify your role's wage level against OFLC Wage Search
PERM requires your offered salary to meet the prevailing wage for your specific SOC code and work location. AI Specialist duties often map to multiple SOC codes with different wage floors, so confirming the correct classification with your employer's attorney before the labor certification is filed avoids preventable denials.
Understand EB-2 versus EB-3 classification for AI roles
If your role requires a master's degree or you hold a U.S. master's equivalent, EB-2 without the PERM step may be available through a National Interest Waiver self-petition. EB-3 professional is the fallback for bachelor's-level AI roles and carries no numerical cap concerns for most countries outside India and China.
Green Card AI Specialist: Frequently Asked Questions
Do AI Specialist roles qualify for EB-2 or EB-3 green card sponsorship?
Most AI Specialist positions qualify for EB-2 when the employer's minimum requirement is a master's degree in computer science, machine learning, or a related field. Roles requiring only a bachelor's degree fall under EB-3 professional. The employer's stated job requirements at the time of the PERM filing, not your personal credentials, determine the category, so the job description language matters significantly.
How does PERM green card sponsorship differ from H-1B for AI Specialists?
H-1B is a temporary status tied to a specific employer with a six-year base limit and an annual lottery. PERM-based sponsorship leads to permanent residency with no lottery and no expiration. The tradeoff is time: PERM labor certification plus I-140 adjudication typically takes one to three years before you reach the final adjustment of status stage, depending on your country of birth and USCIS processing backlogs.
Which employers regularly sponsor green cards for AI Specialist positions?
Technology companies, financial services firms, healthcare systems, and large research-driven organizations have the most consistent PERM filing history for AI roles. Rather than guessing, search the DOL PERM disclosure data by job title and employer to see certified applications in your specialty. Migrate Mate also lets you filter AI Specialist listings by green card sponsorship history so you can focus on employers with a confirmed track record.
Can I switch employers after my I-140 is approved but before I get my green card?
Yes, under AC21 portability rules, once your I-140 is approved and your priority date has been pending for 180 days or more, you can change employers as long as the new role is in the same or a similar occupational classification. For AI Specialists, a move from one machine learning engineering role to a comparable one at a different company generally satisfies the similarity requirement, but you should confirm the classification match with an immigration attorney before accepting.
What does the PERM labor certification process involve for AI Specialist jobs?
The employer must conduct a DOL-supervised recruitment process to demonstrate that no qualified U.S. worker is available for the position. This includes posting the job through specific channels, documenting applicant rejections, and filing ETA Form 9089 with DOL. For AI Specialist roles, the job duties description must be precise because vague or overly broad language frequently triggers audits. USCIS then reviews the approved PERM when the employer files the I-140 immigrant petition.