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Internship Monitoring Evaluation Learning Jobs in Springfield, MA

CVS Health

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

Monitoring & Evaluation: Prompt evaluation tools, logging frameworks, observability platforms ... Machine learning concepts (training, evaluation, overfitting, bias) * Practical experience with:

Marmon

Facilities/Maintenance Intern

East Granby, CT

$16.75 - $21.75/hr

Our Summer Internship Experience: Marmon Industrial Energy & Infrastructure hiring talented and ... Monitor/Assist with the safety and cleanliness of interior and exterior areas, such as offices ...

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Internship Monitoring Evaluation Learning information

See Springfield, MA salary details

$8

$16

$24

How much do internship monitoring evaluation learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship monitoring evaluation learning in Springfield, MA is $16.98, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 per hour, depending on experience, location, and employer.

What is an internship monitoring evaluation learning position?

Internship Monitoring Evaluation Learning (MEL) positions are entry-level roles that support the design, implementation, and analysis of projects aimed at assessing the effectiveness and impact of programs, often in the development, nonprofit, or governmental sectors. Interns in MEL typically assist with data collection, analysis, reporting, and learning activities to help organizations make data-driven decisions and improve project outcomes. These positions are ideal for students or recent graduates interested in gaining practical experience in monitoring and evaluation methodologies, research, and project management.

What are the key skills and qualifications needed to thrive as an internship monitoring evaluation learning professional?

To thrive in an Internship Monitoring Evaluation Learning (MEL) role, you need a solid grasp of data collection, analysis, and reporting, often supported by a background in social sciences, statistics, or international development. Familiarity with MEL frameworks, data management tools like Excel or KoboToolbox, and sometimes knowledge of statistical software such as SPSS or Stata is typically required. Attention to detail, critical thinking, strong communication, and adaptability help interns excel in supporting project evaluation and learning processes. These skills ensure accurate measurement of project impact, facilitate informed decision-making, and contribute to the continual improvement of programs.

What are some common challenges faced during an internship in monitoring, evaluation, and learning, and how can they be addressed?

Interns in Monitoring, Evaluation, and Learning often face challenges such as interpreting complex data, balancing multiple projects, and adapting to various reporting frameworks. Navigating diverse stakeholder expectations and ensuring data accuracy can also be demanding. These challenges can be managed by seeking regular feedback from supervisors, collaborating closely with team members, and actively participating in training sessions or workshops. Building strong organizational and communication skills will help interns contribute effectively and grow within the field.

What is the difference between Internship Monitoring Evaluation Learning vs Monitoring and Evaluation Specialist?

AspectInternship Monitoring Evaluation LearningMonitoring and Evaluation Specialist
CredentialsTypically requires a degree in social sciences, development studies, or related fields; internships may not require certificationsRequires advanced degrees (e.g., Master’s) and professional certifications in M&E
Work EnvironmentEntry-level, often in NGOs, development agencies, or government programs; supervised learning settingFull-time professional role in organizations, agencies, or consulting firms
Employer & Industry UsageUsed in development projects, NGOs, and government programs for learning and supportUsed in similar sectors for designing, implementing, and analyzing M&E systems

Internship Monitoring Evaluation Learning roles focus on gaining practical experience and supporting M&E activities under supervision, while Monitoring and Evaluation Specialists are experienced professionals responsible for designing and managing M&E systems. The former is entry-level, often part of learning programs, whereas the latter involves advanced expertise and responsibilities.

What are popular job titles related to Internship Monitoring Evaluation Learning jobs in Springfield, MA?

For Internship Monitoring Evaluation Learning jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Internship Monitoring Evaluation Learning jobs in Springfield, MA look for?

The top searched job categories for Internship Monitoring Evaluation Learning jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Internship Monitoring Evaluation Learning jobs?

Cities near Springfield, MA with the most Internship Monitoring Evaluation Learning job openings:

Internship Monitoring Evaluation Learning jobs near you
Infographic showing various Internship Monitoring Evaluation Learning job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $35,312 per year, or $17 per hour.

AI/LLM Engineer

CVS Health

Hartford, CT • On-site

$101K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,338 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

We are seeking an experienced AI / LLM Engineer to design, develop, and operationalize advanced language model-powered applications for enterprise use cases. This role will focus on building text-based reasoning systems, Retrieval-Augmented Generation (RAG) pipelines, and scalable prompt engineering frameworks that enhance decision-making, automation, and knowledge discovery across the organization.

As a key member of a cross-functional team, you will collaborate with business stakeholders to translate business requirements into reliable, explainable, and production-ready AI solutions. You will play a critical role in shaping enterprise AI capabilities by ensuring solutions are secure, responsible, and optimized for real-world performance.

  • Design and implement LLM-powered applications that support complex, text-based reasoning and decision workflows.
  • Develop and refine chain-of-thought-style reasoning approaches and structured prompt patterns to improve model accuracy and interpretability.
  • Architect and build Retrieval-Augmented Generation (RAG) systems leveraging embeddings, vector search, and hybrid retrieval strategies.
  • Create, evaluate, and optimize prompt engineering frameworks, including reusable templates, prompt libraries, and testing methodologies.
  • Implement monitoring, logging, and feedback loops for continuous improvement of AI systems.
  • Ensure compliance with security, governance, and Responsible AI principles.
  • Partner with product and analytics teams to rapidly prototype and iterate AI-driven features.

Tools & Technologies

  • Programming: Python (primary), SQL

  • LLM Platforms: OpenAI, Anthropic, Google Vertex AI
  • Frameworks: LangChain, LlamaIndex, Semantic Kernel
  • Vector Databases: Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search
  • Data Processing: Spark, Pandas
  • APIs & Services: FastAPI, Flask, REST/gRPC
  • Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)
  • DevOps & MLOps: Docker, Kubernetes, CI/CD tools
  • Monitoring & Evaluation: Prompt evaluation tools, logging frameworks, observability platforms

Essential Qualifications and Functions:

  • 5+ years expereince
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • Strong programming experience in Python and familiarity with software engineering best practices.
  • Hands-on experience building production-grade AI/ML systems, not just prototypes.
  • Experience working with Large Language Models (LLMs) and APIs.
  • Solid understanding of:
    • Natural Language Processing (NLP) fundamentals
    • Machine learning concepts (training, evaluation, overfitting, bias)
  • Practical experience with:
    • Retrieval-Augmented Generation (RAG) systems
    • Prompt engineering and prompt optimization
    • Embeddings and vector search
  • Experience designing and implementing APIs, microservices, or distributed systems.
  • Familiarity with model evaluation techniques and performance metrics.
  • Strong debugging and problem-solving skills in complex systems.

Preferred Qualifications:

  • Experience with LLM platforms such as OpenAI, Anthropic, Google Vertex AI, or similar.
  • Familiarity with orchestration frameworks like LangChain, LlamaIndex, Semantic Kernel, or equivalent.
  • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search).
  • Knowledge of MLOps practices, including CI/CD pipelines for AI systems.
  • Experience deploying solutions in cloud environments (e.g., AWS, Azure, GCP).
  • Exposure to agent-based architectures or multi-step AI workflows.
  • Experience in financial services enterprise environments (or similar data-intensive industries).
  • Experience with evaluation frameworks and benchmarking for LLMs.

This role does not support sponsorship at this time

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/14/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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