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Internship Monitoring Evaluation Learning Jobs in Iowa

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Internship Monitoring Evaluation Learning information

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 Iowa?

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

What cities in Iowa are hiring for Internship Monitoring Evaluation Learning jobs?

Cities in Iowa with the most Internship Monitoring Evaluation Learning job openings:

Summer 2027 Intern - Machine Learning Engineering

Workiva

Sioux City, IA • On-site

$40/hr

Other

Retirement

Posted 2 days ago

New


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 246 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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