ZipRecruiter

Log In

2

Machine Learning Intern Remote Jobs in Hyattsville, MD

Special Olympics

AI Intern - DP&T

Washington, DC · Remote

$17 - $22.50/hr

Remote, USA Department: Digital Products & Technology - Data Science & Engineering Reports to ... This role provides hands-on exposure to applied AI, machine learning, generative AI, analytics, and ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

CareFirst

Payment Integrity Intern (Remote)

Columbia, MD · Remote

$14.50 - $19.50/hr

The intern position resides within the Payment Integrity Department. This team is responsible for ... This is a remote position with an anticipated start date in October 2026. ESSENTIAL FUNCTIONS:

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis ... Support development of machine learning or statistical models * Prepare datasets for analysis and ...

next page

Showing results 1-20

All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Hyattsville, MD

Machine Learning Intern Remote information

See Hyattsville, MD salary details

$25.6K

$42.7K

$88.2K

How much do machine learning intern remote jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning intern remote in Hyattsville, MD is $42,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What job categories do people searching Machine Learning Intern Remote jobs in Hyattsville, MD look for? The top searched job categories for Machine Learning Intern Remote jobs in Hyattsville, MD are:
What cities near Hyattsville, MD are hiring for Machine Learning Intern Remote jobs? Cities near Hyattsville, MD with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Hyattsville, MD as of July 2026, with employment types broken down into 18% Internship, 1% As Needed, 49% Full Time, 28% Part Time, 3% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $42,682 per year, or $20.5 per hour.

AI Intern - DP&T

Special Olympics

Washington, DC • Remote

$17 - $22.50/hr

Part-time

Posted 7 days ago

Job description

AI Intern – DP&T

Location: Remote, USA
Department: Digital Products & Technology – Data Science & Engineering
Reports to: Senior Vice President, Technology & Data Science
FLSA: Non-exempt

Role Overview:

The AI Intern will support the Data Science & Engineering team in researching, prototyping, testing, and evaluating artificial intelligence solutions that advance the mission of Special Olympics. This role provides hands-on exposure to applied AI, machine learning, generative AI, analytics, and software development in a nonprofit environment.

The intern will collaborate with data scientists, engineers, product teams, and business stakeholders to explore innovative uses of AI that improve operational efficiency, enhance decision-making, expand digital accessibility, and create positive outcomes for athletes, coaches, volunteers, and staff. This position is designed to provide practical experience developing, evaluating, and deploying AI-enabled solutions while learning industry best practices in responsible AI, data governance, and technology delivery.

Key Responsibilities

  • Research emerging AI, machine learning, and generative AI technologies and identify potential organizational applications.
  • Assist with proof-of-concept development and rapid prototyping of AI-enabled applications.
  • Assist in the development and testing of AI assistants, copilots, knowledge retrieval systems, and natural-language interfaces.
  • Support prompt engineering, evaluation, and optimization activities.
  • Help document AI workflows, technical designs, and implementation approaches.
  • Participate in user testing and feedback collection efforts.
  • Work closely with technical and non-technical stakeholders to understand business needs.
  • Present findings, recommendations, and project updates to team members.
  • Participate in team meetings, training sessions, and knowledge-sharing activities.
  • Contribute to documentation, presentations, and project deliverables.

Required Qualifications

  • Current undergraduate or graduate student.
  • Familiarity with AI, machine learning, statistics, or data science concepts.
  • Familiarity with data analysis and visualization concepts.
  • Strong problem-solving skills.
  • Excellent written and verbal communication skills.
  • Demonstrated curiosity, initiative, and willingness to learn new technologies.

Learning Opportunities

During this internship, the successful candidate will have the opportunity to:

  • Work on real-world AI initiatives supporting a global nonprofit organization.
  • Gain hands-on experience with generative AI, analytics, machine learning, and cloud technologies.
  • Learn from experienced data scientists, engineers, and technology leaders.
  • Participate in innovation, research, and product development activities.
  • Build a portfolio of practical AI and data science experience with meaningful social impact.

Special Olympics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

 

**Special Olympics is an E-Verify Employer** 

Apply