AI Specialist Jobs
AI Specialist jobs are open across technology, healthcare, finance, and manufacturing, from entry-level analyst to principal and director, with specializations in machine learning engineering, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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Responsibilities:
The Clinical AI Specialist serves as a strategic and operational catalyst, bridging the gap between advanced artificial intelligence and the healthcare bedside. This role is responsible for auditing current AI footprint; including uncovering undocumented "shadow AI," while proactively designing future-ready AI strategies for specialty areas like research, the laboratory, imaging (Radiology and Cardiology), and specialized care environments. By deeply aligning technical capabilities with core platforms like Epic (including the Epic Agent Factory), this specialist ensures AI directly mitigates clinician burnout and elevates the patient and family experience, from admission to discharge. Central to this role is the maturation of robust AI governance, the creation of safety-focused evaluation frameworks for third-party tools, and the secure, equitable deployment of next-generation AI agents and wearable technologies.
LOCATION:
This position offers a fully remote work opportunity. Employees in this role must reside in one of the following states to be considered for fully remote positions: Kentucky, Indiana, Missouri, Ohio, Tennessee, Alabama, Virginia, Mississippi, North Carolina, South Carolina
QUALIFICATIONS
Required:
- Bachelor's degree
- Three years working in a healthcare setting - OR - Three years working in a healthcare IT setting.
- Awareness of patient safety, clinical quality assurance, or clinical review of AI-generated content.
Responsibilities:
The Clinical AI Specialist serves as a strategic and operational catalyst, bridging the gap between advanced artificial intelligence and the healthcare bedside. This role is responsible for auditing current AI footprint; including uncovering undocumented "shadow AI," while proactively designing future-ready AI strategies for specialty areas like research, the laboratory, imaging (Radiology and Cardiology), and specialized care environments. By deeply aligning technical capabilities with core platforms like Epic (including the Epic Agent Factory), this specialist ensures AI directly mitigates clinician burnout and elevates the patient and family experience, from admission to discharge. Central to this role is the maturation of robust AI governance, the creation of safety-focused evaluation frameworks for third-party tools, and the secure, equitable deployment of next-generation AI agents and wearable technologies.
LOCATION:
This position offers a fully remote work opportunity. Employees in this role must reside in one of the following states to be considered for fully remote positions: Kentucky, Indiana, Missouri, Ohio, Tennessee, Alabama, Virginia, Mississippi, North Carolina, South Carolina
QUALIFICATIONS
Required:
- Bachelor's degree
- Three years working in a healthcare setting - OR - Three years working in a healthcare IT setting.
- Awareness of patient safety, clinical quality assurance, or clinical review of AI-generated content.
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Find AI Specialist JobsAI Specialist Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- LTIMindtree10
- Shield AI7
- Samsara6
- Anaplan5
- Tempus AI4
Top Industries Hiring
- Technology & Software60
- Electronics & Hardware22
- Consulting & Professional Services9
- Manufacturing9
- Aerospace & Defense7
What Employers Look For
The qualifications that appear most often in AI specialist jobs.
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Strong foundation in statistics, linear algebra, and probability theory
- Experience with MLOps tools for model versioning, monitoring, and pipeline automation
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
Tips for Your AI Specialist Job Search
Tailor your resume to model types
Hiring managers scan for the specific model architectures you've worked with, such as transformer-based LLMs, diffusion models, or reinforcement learning systems. Name them explicitly in your experience bullets rather than describing AI work in general terms.
Show production deployments, not just experiments
Recruiters for ai specialist roles want evidence that your models left a notebook and ran in production. Quantify throughput, latency improvements, or error-rate reductions from deployed systems rather than listing Kaggle competitions or coursework projects.
Filter openings by the ML stack they use
Many ai specialist postings bury their required tools in the middle of a long description. Search by framework names like PyTorch, TensorFlow, or Hugging Face alongside the job title to surface roles that actually match your hands-on experience.
Apply early to roles that fit
Migrate Mate lists ai specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for AI pipelines
Most senior ai specialist interviews include a whiteboard or verbal exercise where you design a full ML pipeline from data ingestion to serving. Practice explaining data versioning, feature stores, model registries, and monitoring layers before your first technical screen.
Negotiate on compute access, not just salary
AI specialists often find that GPU cluster access, cloud budget, and dataset licensing matter more to day-to-day productivity than title alone. Ask about compute resources and data infrastructure before accepting an offer so you know what you're actually working with.
AI Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most ai specialists?
The companies hiring the most ai specialists right now include LTIMindtree, Shield AI, and Samsara, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in technology, financial services, and healthcare, though manufacturing and logistics employers are adding ai specialist roles at a growing pace.
How many ai specialist jobs are remote?
About 41% of ai specialist openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible technical roles available. Research, NLP engineering, and model evaluation work tends to be most remote-friendly, while roles involving proprietary on-premise hardware or regulated data environments are more likely to require on-site presence.
How do you become an ai specialist?
Start by building a strong foundation in Python, linear algebra, and probability, then work through core machine learning concepts using open datasets to develop real projects you can show. Pursue a degree or structured program in computer science or data science if you haven't already, add hands-on experience with frameworks like PyTorch or TensorFlow, and document at least one end-to-end deployment in a public portfolio before applying.
Can you get hired as an ai specialist with little or no experience?
Entry-level ai specialist roles exist, but they typically require demonstrated technical ability even without a long work history. Build a portfolio of self-directed projects that show model training, evaluation, and deployment rather than just course completions. Target companies with dedicated ML infrastructure teams where junior specialists have structured mentorship, and apply to roles explicitly labeled associate, junior, or entry-level rather than generic ai specialist postings aimed at mid-career candidates.
What does the ai specialist interview process look like?
Most ai specialist interviews begin with a recruiter screen focused on your background and the role, followed by a technical phone screen covering Python, statistics, and ML fundamentals. Later rounds typically include a take-home or live coding exercise involving model training or evaluation, a system design session where you architect an ML pipeline, and a final round with cross-functional stakeholders or senior engineers who assess research judgment and communication.
Where can I find and apply to ai specialist jobs?
You can find and apply to ai specialist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills and experience, then apply directly to each one that fits.
See All 152+ AI Specialist Jobs
Jump back to the full list of openings and apply to any AI specialist role that fits.
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