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Trainee Ai Tutor Xai Jobs (NOW HIRING)

... or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...

... or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...

... behind AI, cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with ... Practices excellence in the transfer of knowledge to trainees using effective teaching and learning ...

... behind AI, cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with ... Practices excellence in the transfer of knowledge to trainees using effective teaching and learning ...

... behind AI, cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with ... Practices excellence in the transfer of knowledge to trainees using effective teaching and learning ...

... behind AI, cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with ... Practices excellence in the transfer of knowledge to trainees using effective teaching and learning ...

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Trainee Ai Tutor Xai information

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$25.5K

$43.5K

$63.5K

How much do trainee ai tutor xai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for trainee ai tutor xai in the United States is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What are the roles of a trainee AI tutor XAI?

A Trainee AI Tutor XAI is an entry-level position focused on assisting in the training, evaluation, and improvement of artificial intelligence (AI) models, with a particular emphasis on explainable AI (XAI). Individuals in this role work under supervision to help AI systems become more transparent and understandable to users. Tasks often include labeling data, testing AI outputs, and developing explanations for how AI models reach decisions. This position is ideal for those interested in both AI technology and making AI processes more accessible and trustworthy to people.

What are the key skills and qualifications needed to thrive as a trainee AI tutor XAI?

To thrive as a Trainee AI Tutor (XAI), you need a foundational understanding of artificial intelligence concepts, machine learning principles, and educational methodologies, often supported by a degree in computer science or a related field. Familiarity with AI development tools (such as TensorFlow or PyTorch), explainable AI frameworks, and basic programming (Python) is typically required. Strong communication, critical thinking, and the ability to simplify complex ideas make someone stand out in this position. These skills are vital for effectively guiding learners and ensuring the transparency and ethical use of AI systems.

What are some common challenges faced by a trainee AI tutor XAI when explaining complex AI concepts to non-technical stakeholders?

As a Trainee AI Tutor XAI, one common challenge is translating complex and technical AI or explainable AI (XAI) concepts into language that non-technical stakeholders can easily understand. This often requires simplifying technical jargon, using relatable analogies, and gauging your audience’s level of understanding. Additionally, you may encounter skepticism or concerns about AI transparency and ethics, requiring you to communicate clearly about how AI decisions are made and how biases are addressed. Collaborating closely with product teams, data scientists, and end-users helps develop effective educational materials and build trust in AI solutions.

What is the difference between Trainee Ai Tutor Xai vs Data Analyst?

AspectTrainee Ai Tutor XaiData Analyst
Required CredentialsBasic understanding of AI, certifications in AI tools preferredBachelor's degree in data science, statistics, or related field
Work EnvironmentEducational settings, AI training platforms, online tutoringCorporate offices, data centers, remote data analysis
Employer & Industry UsageAI startups, educational tech companies, training programsFinance, healthcare, marketing, tech companies

The Trainee Ai Tutor Xai role focuses on assisting in AI education and training, often requiring familiarity with AI tools and a passion for teaching. In contrast, Data Analysts analyze data to inform business decisions, requiring stronger analytical skills and data management expertise. Both roles are integral to tech-driven industries but serve different functions within the AI and data ecosystem.

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Infographic showing various Trainee Ai Tutor Xai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $43,530 per year, or $20.9 per hour.

Post Doc Research Fellow-AI/ML Medical Image Analysis

Endeavor Health Services

Evanston, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Postdoctoral Research Fellow – AI/ML Medical Image Analysis

Endeavor Health is seeking a talented Postdoctoral Research Fellow specializing in AI/ML with experience in medical image analysis to join our research enterprise at Endeavor Health Evanston Hospital, an educational affiliate of the University of Chicago (Evanston, IL). This position will establish a cross-cutting AI/ML imaging core serving four high-impact research groups: gynecology, urogynecology, obstetrics/pathology, and radiology.

Endeavor Health has built nationally recognized strength in gynecology, urogynecology, obstetrics, and radiology research, generating rich datasets including uterine cine MRI, pelvic floor ultrasound, digital placental pathology, kidney functional MRI, and multimodal pain biomarkers. This position offers the opportunity to work with highly successful translational teams to provide dedicated AI/ML expertise in image analysis to automate MRI segmentation, perform large-scale histological analyses, and develop predictive imaging models.

The Postdoctoral Research Fellow will be embedded in four collaborative research teams and mentored toward independence as a future principal investigator, with structured support for K- and R-level extramural grant applications. The fellow will work closely with senior investigators. The research environment includes multiple active federally funded projects and a strong track record of high-impact publications and trainee career advancement.

What you will do:

  • Design and deploy scalable AI pipelines for automated uterine, placental, pelvic and kidney MRI segmentation.
  • Develop multimodal predictive models integrating imaging, molecular, and clinical data to predict chronic pain risk and other clinical outcomes.
  • Implement explainable AI (XAI) approaches to ensure transparency and rigor across pipelines.
  • Disseminate AI pipelines as shared institutional tools to broaden adoption across research groups.
  • Collaborate actively with gynecology, obstetrics/pathology, and radiology teams.
  • Regularly review scientific literature and evaluate emerging AI/ML techniques and procedures.
  • Co-author scientific papers for presentation and publication.
  • Contribute to grant writing, targeting R01/U01 applications; prepare for independent K- and R-level award applications.
  • Present work at institutional seminars and scientific meetings to promote AI/ML adoption.
  • Consult with research personnel in research design, AI/ML methodology, and scientific inference.
  • As requested, mentor or teach others in AI/ML methods requiring advanced technical knowledge.
  • Demonstrates knowledge of Endeavor customer service standards and NorthShore University Endeavor policies and procedures applicable to the role.
  • Participates in ongoing professional development through workshops, in-service programs, and professional meetings.
  • Performs related duties as required or assigned.

What you will need:

  • Education: PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Biomedical Informatics, or closely related field required.
  • Experience: Demonstrated expertise in deep learning and computer vision for medical image analysis (MRI, ultrasound, histopathology, or similar modalities). Proficiency in Python and relevant AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). A publication record and sample code demonstrating AI/ML image analysis capabilities. Experience with medical imaging data formats and preprocessing pipelines (e.g., DICOM, NIfTI, ITK/SimpleITK). Familiarity with explainable AI methods and best practices for model transparency. Experience with or interest in multimodal data integration (imaging, molecular, clinical). Able to work collaboratively across multiple research groups and manage parallel project responsibilities.

Benefits:

  • Career Pathways to Promote Professional Growth and Development
  • Various Medical, Dental, and Vision options
  • Tuition Reimbursement
  • Free Parking at designated locations
  • Wellness Program Savings Plan
  • Health Savings Account Options
  • Retirement Options with Company Match
  • Paid Time Off
  • Community Involvement Opportunities