ML Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's ML engineer job market is anchored by Research Triangle Park, home to major employers like Red Hat, Lenovo, and Cisco, alongside strong university pipelines from NC State and Duke. Charlotte's growing tech sector adds further demand. Most roles here are with established tech, healthcare IT, and advanced manufacturing firms that have active visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
Excellent Jr-mid level part-time consulting opportunity with the possibility of FTE. Professional experience working within GCP, handling validating accuracy and training the models REQUIRED!
This Jobot Consulting Job is hosted by: Craig Rosecrans. Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
SALARY
Salary: $40 - $65 per hour
About us
We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This role will work directly alongside a senior AI architect helping validate model accuracy, support training workflows, and contribute to the development and refinement of production-bound machine learning solutions within GCP. This is an excellent opportunity for an early-career AI/ML engineer to gain hands-on experience with real-world model evaluation, LLM development workflows, and enterprise-scale applied AI systems.
WHY JOIN US?
- Part-time contract (~20 hours per week)
- Fully remote
- Flexible scheduling
- Opportunity to contribute to high-visibility enterprise AI development initiatives
Responsibilities
- Support evaluation and validation of machine learning and LLM outputs for accuracy, consistency, and reliability within GCP
- Assist with training dataset preparation, labeling, and refinement
- Contribute to prompt engineering experimentation and response testing
- Help monitor model performance and recommend improvements
- Collaborate with senior engineers on iterative model tuning and deployment readiness
- Document workflows, testing results, and evaluation methodologies
- Participate in ongoing experimentation supporting production AI solutions
BASIC QUALIFICATIONS
- 1–3 years of experience in Machine Learning, AI engineering, or applied data science
- Hands-on experience with Python for ML workflows
- Professional experience working in GCP (Google Cloud Platform) required
- Familiarity with LLM ecosystems (OpenAI, Gemini, Claude, or similar)
- Experience working with structured and unstructured datasets
- Exposure to model validation, testing pipelines, or evaluation frameworks
- Strong attention to detail and analytical problem-solving skills
- Ability to work independently in a distributed engineering environment
PREFERRED QUALIFICATIONS
- Experience supporting prompt engineering or RAG-style workflows
- Exposure to model fine-tuning or dataset optimization techniques
- Familiarity with evaluation tooling for LLM accuracy and hallucination detection
- Experience working alongside senior architects or research teams
- Background supporting enterprise AI initiatives or production-bound experimentation
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
INTRODUCTION
Excellent Jr-mid level part-time consulting opportunity with the possibility of FTE. Professional experience working within GCP, handling validating accuracy and training the models REQUIRED!
This Jobot Consulting Job is hosted by: Craig Rosecrans. Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
SALARY
Salary: $40 - $65 per hour
About us
We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This role will work directly alongside a senior AI architect helping validate model accuracy, support training workflows, and contribute to the development and refinement of production-bound machine learning solutions within GCP. This is an excellent opportunity for an early-career AI/ML engineer to gain hands-on experience with real-world model evaluation, LLM development workflows, and enterprise-scale applied AI systems.
WHY JOIN US?
- Part-time contract (~20 hours per week)
- Fully remote
- Flexible scheduling
- Opportunity to contribute to high-visibility enterprise AI development initiatives
Responsibilities
- Support evaluation and validation of machine learning and LLM outputs for accuracy, consistency, and reliability within GCP
- Assist with training dataset preparation, labeling, and refinement
- Contribute to prompt engineering experimentation and response testing
- Help monitor model performance and recommend improvements
- Collaborate with senior engineers on iterative model tuning and deployment readiness
- Document workflows, testing results, and evaluation methodologies
- Participate in ongoing experimentation supporting production AI solutions
BASIC QUALIFICATIONS
- 1–3 years of experience in Machine Learning, AI engineering, or applied data science
- Hands-on experience with Python for ML workflows
- Professional experience working in GCP (Google Cloud Platform) required
- Familiarity with LLM ecosystems (OpenAI, Gemini, Claude, or similar)
- Experience working with structured and unstructured datasets
- Exposure to model validation, testing pipelines, or evaluation frameworks
- Strong attention to detail and analytical problem-solving skills
- Ability to work independently in a distributed engineering environment
PREFERRED QUALIFICATIONS
- Experience supporting prompt engineering or RAG-style workflows
- Exposure to model fine-tuning or dataset optimization techniques
- Familiarity with evaluation tooling for LLM accuracy and hallucination detection
- Experience working alongside senior architects or research teams
- Background supporting enterprise AI initiatives or production-bound experimentation
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
ML Engineer Job Roles in North Carolina
See all 85+ ML Engineer Jobs in North Carolina
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Search ML Engineer Jobs in North CarolinaML Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for ML engineers in North Carolina?
The most active visa sponsors for ML engineers in North Carolina are concentrated in Research Triangle Park and include companies like Red Hat, Cisco, Lenovo, and SAS Institute. Healthcare technology firms such as Labcorp and Duke Health also sponsor ML roles. IBM has a significant presence in RTP and has consistently filed H-1B petitions for machine learning and AI engineering positions.
Which visa types are most common for ML engineer roles in North Carolina?
The H-1B is the most common visa for ML engineers in North Carolina, as machine learning roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. O-1A visas are an option for engineers with demonstrable recognition in the field. Candidates already authorized under F-1 OPT or STEM OPT often transition into H-1B sponsorship with RTP-based employers.
Which cities in North Carolina have the most ML engineer sponsorship jobs?
Research Triangle Park, spanning Raleigh, Durham, and Chapel Hill, accounts for the large majority of ML engineer sponsorship activity in the state. Raleigh in particular has seen strong growth in AI and data science hiring. Charlotte is a secondary market, driven by financial services firms like Bank of America and Wells Fargo that are expanding their machine learning teams.
How to find ml engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters ML engineer jobs specifically by visa sponsorship availability, so you can search North Carolina roles without having to manually screen each listing. The platform surfaces positions from employers who have a documented history of sponsoring work visas in technical roles. This is particularly useful for targeting RTP-area companies and Charlotte-based financial tech firms that regularly hire ML engineers on H-1B status.
Are there state-specific factors ML engineers should know when pursuing sponsorship in North Carolina?
North Carolina's university pipeline, particularly from NC State's computer science and statistics programs and Duke's AI research centers, means employers in the state are experienced with OPT-to-H-1B transitions. The Department of Labor's prevailing wage requirements apply to all H-1B filings, and RTP employers typically structure ML engineer compensation to meet Level II or Level III wage determinations for the Raleigh-Durham metro area.
What is the prevailing wage for sponsored ml engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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