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Trainee Ai Researcher Jobs (NOW HIRING)

Mayo Clinic

Research Fellow in Surgical AI

Rochester, MN · On-site

$67K - $78K/yr

Conduct original research in AI and related fields, including designing and implementing ... Surgical trainees with relevant prior experiences who are able to take time out of their training ...

CBRE

Union Trainee

Chicago, IL · On-site

$37K/yr

Help with research projects, attend team meetings, and assist with the creation of presentations ... Applicant AI Use Disclosure We value human interaction to understand each candidate's unique ...

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How much do trainee ai researcher jobs pay per year?

As of Jul 14, 2026, the average yearly pay for trainee ai researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a Trainee AI Researcher do?

A Trainee AI Researcher assists in developing and testing artificial intelligence models and algorithms under the supervision of experienced researchers. Their responsibilities typically include reading relevant scientific literature, conducting experiments, analyzing data, and helping to write research papers or reports. This role is often entry-level and is designed to build foundational skills in machine learning, data analysis, and programming. Trainee AI Researchers may also collaborate with team members on projects, attend seminars, and stay updated on the latest advancements in AI.

What types of projects can a Trainee AI Researcher expect to work on during their first year?

As a Trainee AI Researcher, you can expect to contribute to a variety of projects, often starting with literature reviews, data collection, and running experiments under the supervision of senior researchers. You may assist in developing and testing machine learning models, analyzing results, and refining algorithms. Collaboration is key, so you'll regularly work with other researchers, data scientists, and engineers, gaining exposure to different facets of AI research. Over time, you'll gradually take on more responsibility and may even co-author papers or present findings at team meetings.

What is the difference between Trainee Ai Researcher vs Data Scientist?

AspectTrainee Ai ResearcherData Scientist
Required CredentialsTypically pursuing or holding a degree in AI, Computer Science, or related fieldsOften holds a degree in Data Science, Statistics, or related disciplines
Work EnvironmentInternship or entry-level position in research labs or tech companiesFull-time role in data analysis, modeling, and business insights
Employer & Industry UsageResearch institutions, AI startups, tech companies focusing on AI developmentTech firms, finance, healthcare, and other industries leveraging data analytics

While both roles involve working with data and algorithms, a Trainee Ai Researcher primarily focuses on developing and testing AI models in a research setting, often as an entry-level or internship position. In contrast, a Data Scientist applies data analysis and modeling skills to solve business problems across various industries. The roles differ mainly in their focus—research versus application—and their typical work environments.

What are the key skills and qualifications needed to thrive as a Trainee AI Researcher, and why are they important?

To thrive as a Trainee AI Researcher, you need a solid background in mathematics, programming (often Python), and foundational knowledge in machine learning, typically supported by a relevant degree. Familiarity with tools and libraries such as TensorFlow, PyTorch, and data analysis platforms is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication help you excel in collaborative research environments. These skills enable you to contribute meaningfully to innovative AI projects and adapt to the rapidly evolving field.
What cities are hiring for Trainee Ai Researcher jobs? Cities with the most Trainee Ai Researcher job openings:
What are the most commonly searched types of Ai Researcher jobs? The most popular types of Ai Researcher jobs are:
What states have the most Trainee Ai Researcher jobs? States with the most job openings for Trainee Ai Researcher jobs include:
Trainee Ai Researcher jobs near you
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

Houston, TX

Full-time

Posted 27 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

56th of 553 rated colleges and universities

Job description

Baylor College of Medicine and Department Summary:

Baylor (www.bcm.edu) is recognized as one of the nation’s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

Summary

Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.

This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.

The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.

Job Duties

VITAL Lab Development & Leadership

  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

________________________________________

AI & Data Platform Development

  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

________________________________________

Research & Academic Contributions

  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

________________________________________

Clinical & Translational Collaboration

  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

________________________________________

Education & Mentorship

  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science
Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:

  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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