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Ibm Watson Internship Jobs (NOW HIRING)

Trinityhealth

Pharmacist Intern

Nampa, ID · On-site

$16 - $19.75/hr

PHARMACIST INTERNSHIPS NAMPA MEDICAL CAMPUS SUMMARY: Join a very supportive, mentoring pharmacy ... Top 15 Health Systems in the country by IBM Watson Health * The region's most advanced Trauma ...

Trinity Health

Pharmacist Intern

Nampa, ID · On-site

$16 - $19.75/hr

PHARMACIST INTERNSHIPS NAMPA MEDICAL CAMPUS SUMMARY: Join a very supportive, mentoring pharmacy ... Top 15 Health Systems in the country by IBM Watson Health * The region's most advanced Trauma ...

Trinity Health

Pharmacist Intern

Nampa, ID

$16 - $19.75/hr

PHARMACIST INTERNSHIPS NAMPA MEDICAL CAMPUS SUMMARY: Join a very supportive, mentoring pharmacy ... Top 15 Health Systems in the country by IBM Watson Health * The region's most advanced Trauma ...

Trinity Health

Pharmacist Intern

Boise, ID

$16 - $19.75/hr

The internship will allow the Pharmacist student to gain a better understanding of inpatient ... Top 15 Health Systems in the country by IBM Watson Health * The region's most advanced Trauma ...

Trinity Health

Pharmacist Intern

Boise, ID · On-site

$16 - $19.75/hr

The internship will allow the Pharmacist student to gain a better understanding of inpatient ... Top 15 Health Systems in the country by IBM Watson Health * The region's most advanced Trauma ...

Trinityhealth

Pharmacist Intern

Boise, ID · On-site

$16 - $19.75/hr

The internship will allow the Pharmacist student to gain a better understanding of inpatient ... Top 15 Health Systems in the country by IBM Watson Health * The region's most advanced Trauma ...

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How much do ibm watson internship jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ibm watson internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an IBM Watson internship?

An IBM Watson internship is a temporary position for students or recent graduates to gain hands-on experience working with IBM’s Watson technology, which focuses on artificial intelligence, machine learning, and data analytics. Interns typically work on real-world projects involving Watson’s AI capabilities, collaborate with professionals, and develop technical and professional skills. The internship provides valuable exposure to IBM’s innovative environment and can be a stepping stone to a career in AI or technology.

What types of projects do interns typically work on during an IBM Watson internship?

IBM Watson interns usually contribute to a variety of projects that involve artificial intelligence, machine learning, and natural language processing. Depending on their background, interns may assist in developing AI models, improving Watson’s conversational abilities, or analyzing large datasets to extract insights. Interns often collaborate closely with experienced engineers, data scientists, and product managers, gaining real-world experience in both technical development and cross-functional teamwork. This hands-on exposure not only builds technical skills but also provides insight into how AI solutions are delivered in a global tech company.

What are the key skills and qualifications needed to thrive as an IBM Watson intern, and why are they important?

To thrive as an IBM Watson Intern, you typically need a background in computer science, data science, or a related field, along with strong analytical and programming skills. Familiarity with AI/ML frameworks, IBM Watson APIs, and tools like Python, Java, and cloud platforms is highly valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on innovative projects. These skills and qualities enable interns to contribute meaningfully to AI-driven solutions and adapt quickly in a dynamic, technology-focused environment.

What is the difference between Ibm Watson Internship vs Data Scientist Internship?

AspectIbm Watson InternshipData Scientist Internship
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI/ML conceptsDegree in Computer Science, Data Science, or related field; programming skills; statistical knowledge
Work EnvironmentCorporate tech environment, collaborative teams, project-based tasksResearch-focused or corporate settings, data analysis, model development
Industry UsageAI solutions, cloud computing, enterprise softwareData analysis, predictive modeling, machine learning applications
Common Search/ComparisonYesYes

The Ibm Watson Internship typically focuses on AI and cloud-based projects within IBM's enterprise solutions, emphasizing AI tools and Watson platform experience. In contrast, a Data Scientist Internship involves analyzing data, building models, and deriving insights, often requiring stronger statistical and programming skills. Both internships prepare candidates for careers in data and AI fields but differ in their specific focus and skill requirements.

Are IBM Watson internships paid?

Yes, IBM Watson internships are typically paid positions that offer compensation for interns' work. The pay rate can vary depending on the location, level of experience, and specific internship program, but most internships at IBM include a stipend or salary. Interns also gain valuable experience working with advanced AI tools and technologies during their internship period.
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Ibm Watson Internship jobs near you
Infographic showing various Ibm Watson Internship job openings in the United States as of August 2026, with employment types broken down into 7% Internship, 67% Full Time, 25% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Adjunct of Data Science

Jersey City, NJ • On-site

Saint Peter's University
Colleges, Universities, and Professional Schools • 201 - 500 employees
Learn more about Saint Peter's Universityexternal

$750 - $1.0K/wk

Other

Re-posted 2 days ago

Job description

Seeking Adjunct Professors to teach graduate courses in data science, analytics, machine learning, and related tools at Saint Peter's.
About Saint Peter's University
Saint Peter's is one of 27 Jesuit colleges and universities in the United States. Established in 1872, the University blends a unique learning experience shaped by rigorous academics, internships that provide real-world experience, community service, and a genuine, caring community that supports alumni long after graduation. Saint Peter's offers more than 50 undergraduate majors as well as master's level and doctorate programs
Saint Peter's University is committed to helping students achieve success not only with their academics, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education.
Duties:
Teaching graduate students in a specific field of expertise on a part-time basis in the following areas:
• Big Data and Data Management
• Data Mining
• Machine Learning
• Data Visualization
• SQL
• Predictive Analytics and Financial Modeling
• Knowledge of Python and SAS
• Tableau, IBM Watson and Excel preferred
• Supervision of Capstone Consulting Engagement
Adjunct Rate: $750 - $1,000 per credit hour
Qualification Standards:
  • Actively engage students through frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning
  • Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations.
  • Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments.
  • Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program.
  • Provide feedback to your program chair on possible curricular improvements.
  • Developing and managing the class syllabus and ensuring that the syllabus meets department and college standards
  • Planning and creating lectures, for both online and in-class discussions and assignments
  • Grading assigned papers, quizzes and exams
  • Assessing grades for students based on participation, performance in class, assignments, and examinations
  • Advising students on how to be successful in class
  • Staying updated on innovations and changes within their course field

Education:
  • A terminal degree (i.e., PhD, DBA, etc.) is preferred from an accredited institution of higher learning related to Data Science/Business Analytics, and a Master's is required.

Experience:
  • Professional experience in industry.
  • Higher Education teaching experience preferred.

Apply