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Service Learning Intern Jobs in Texas (NOW HIRING)

Resolve Tech Solutions

AI & ML Intern

Addison, TX

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern ... Cognitive Services preferred, but not required * Familiarity with data analysis tools (Pandas ...

Armanino LLP

Tax Learning Business Partner

Dallas, TX · On-site

$113.30K - $152.30K/yr

Effectively balance client service with a strong commitment to the vision and strategic priorities ... intern training, learning paths, etc. * Translate enterprise learning initiatives into business ...

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Service Learning Intern information

What is the difference between Service Learning Intern vs Community Service Coordinator?

AspectService Learning InternCommunity Service Coordinator
CredentialsTypically pursuing or holding a relevant degree or coursework in education, social work, or community developmentUsually requires experience in community programs, sometimes a degree in social sciences or related fields
Work EnvironmentEducational settings, nonprofit organizations, community centersNonprofit organizations, government agencies, community outreach programs
Employer & IndustrySchools, universities, nonprofit organizationsNonprofits, government agencies, community organizations
Common Search & ComparisonYesYes

Service Learning Interns typically assist with educational and community projects, gaining experience through supervised activities. Community Service Coordinators oversee and organize community programs, managing volunteers and resources. While both roles focus on community engagement, interns are often in learning positions, whereas coordinators handle program management and implementation.

What cities in Texas are hiring for Service Learning Intern jobs? Cities in Texas with the most Service Learning Intern job openings:
Service Learning Intern jobs near you
AI & ML Intern

AI & ML Intern

Resolve Tech Solutions

Addison, TX

Part-time

Posted 6 days ago

Job description

Artificial Intelligence & Machine Learning (AI & ML) Intern

Position Title: AI & ML Intern
Reporting to: Director, AI Strategy & Architecture
Position Summary

The AI & ML Intern at Juno Labs will support the design, development, and testing of artificial intelligence and machine learning models to solve real-world business challenges. This role provides hands-on exposure to data preparation, model experimentation, and performance evaluation, while collaborating with experienced data scientists and engineers. The internship is designed to provide practical learning opportunities, contribute to active projects, and help advance Juno Labs' innovation in applied AI solutions.

Key Responsibilities

  • Assist in collecting, cleaning, and preparing datasets for machine learning experiments.
  • Support the development, training, and evaluation of AI & ML models under supervision.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Research and test new algorithms, libraries, and tools relevant to project needs.
  • Document processes, results, and findings to support team knowledge sharing.
  • Collaborate with engineers to integrate models into prototype or production environments.
  • Participate in code reviews, team discussions, and project planning sessions.
  • Assist in preparing presentations or reports on AI & ML project outcomes.
  • Stay current with academic research and industry trends in AI & ML.
  • Contribute to a culture of innovation, learning, and continuous improvement at Juno Labs.
  • Other duties as assigned


Qualifications

  • Current enrollment in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, Mathematics, or a related field

  • Foundational knowledge of machine learning concepts and techniques

  • Experience with programming languages such as Python and libraries such as TensorFlow, PyTorch, or scikit-learn

  • Experience with LangChain, Crew AI, Amazon Bedrock, Google Vertex AI or Azure OpenAI Cognitive Services preferred, but not required

  • Familiarity with data analysis tools (Pandas, NumPy, SQL, or similar)

  • Strong problem-solving skills and ability to work with ambiguity

  • Effective written and verbal communication skills

  • Demonstrated curiosity and eagerness to learn from feedback

  • Ability to work independently and collaboratively in a team environment

  • Alignment with RTS Core Values

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