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Data Management Intern Jobs in Roxbury Crossing, MA

DataRobot

Agentic AI Intern

Boston, MA · Remote

... lifecycle management (categorization, diagnosis, routing, status updates, and resolution ... How to automate the ML lifecycle from data ingestion through deployment and monitoring Business ...

Emerson College

Campus Planning Intern

Boston, MA · On-site

$25/hr

The Campus Planning Intern provides support to the department responsible for the design and ... management and building model database to assure accurate physical space measurement and use data.

Emerson College

Campus Planning Intern

Boston, MA · On-site

$17 - $21.75/hr

The Campus Planning Intern provides support to the department responsible for the design and ... management and building model database to assure accurate physical space measurement and use data.

vicinityenergy

Engineering Intern

Cambridge, MA · On-site

$18 - $20/hr

... data entry, and populate the information into the data distribution system. This is a part-time ... Support Plant Engineering project design, project management, reporting * Ability and willingness ...

vicinityenergy

Engineering Intern

Cambridge, MA · On-site

$18 - $20/hr

... data entry, and populate the information into the data distribution system. This is a part-time ... Support Plant Engineering project design, project management, reporting * Ability and willingness ...

Janji

Retail Marketing Intern

Somerville, MA · On-site

$16.25 - $21.75/hr

You'll be working under our Global Wholesale & Key Account Manager, sitting right at the overlap of ... System integrity: keeping backend data clean, accurate, and trustworthy. * Event strategy and ...

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All JobsData Management Intern JobsData Management Intern Jobs in Roxbury Crossing, MA

Data Management Intern information

See Roxbury Crossing, MA salary details

$9

$18

$26

How much do data management intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data management intern in Roxbury Crossing, MA is $18.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.87 per hour, depending on experience, location, and employer.

What is the difference between Data Management Intern vs Data Analyst Intern?

AspectData Management InternData Analyst Intern
Required SkillsData organization, database basics, ExcelData analysis, visualization, SQL
Work EnvironmentData repositories, database systemsReporting tools, analytics platforms
Industry UsageData storage, data governanceData insights, decision support

The Data Management Intern focuses on organizing, maintaining, and ensuring the integrity of data within databases and repositories. In contrast, the Data Analyst Intern emphasizes analyzing data to generate insights and support decision-making. Both roles often require familiarity with Excel and basic database skills, but their core responsibilities differ, with data management being more about data quality and structure, and data analysis centered on interpretation and reporting.

What are some common challenges faced by data management interns, and how can they be overcome?

Data Management Interns often encounter challenges such as learning new database systems, managing large data sets, and ensuring data accuracy. It's common to feel overwhelmed by the volume and complexity of data, especially when using unfamiliar tools or software. To overcome these challenges, interns should actively seek guidance from experienced team members, make use of documentation and training resources, and practice attention to detail when handling data. Open communication and a willingness to learn will help interns quickly adapt and succeed in their role.

What does a data management intern do?

A Data Management Intern assists with organizing, storing, and maintaining data within an organization. Their tasks often include data entry, cleaning data to ensure accuracy, supporting database management, and helping with data analysis projects. Interns may also work with teams to develop data reports and ensure that information is easily accessible and secure. This role provides valuable experience with data management tools and processes, which are essential skills in many industries.

What are the key skills and qualifications needed to thrive as a data management intern, and why are they important?

To thrive as a Data Management Intern, you need a foundational understanding of data analysis, database concepts, and proficiency in spreadsheet software, typically supported by coursework in statistics or information systems. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau is often required. Strong attention to detail, organizational skills, and the ability to communicate clearly help interns manage data accurately and collaborate with team members. These skills ensure accurate data handling, support effective decision-making, and contribute to the integrity of business operations.
What cities near Roxbury Crossing, MA are hiring for Data Management Intern jobs? Cities near Roxbury Crossing, MA with the most Data Management Intern job openings:
Data Management Intern jobs near you
Infographic showing various Data Management Intern job openings in Roxbury Crossing, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $38,470 per year, or $18.5 per hour.

Agentic AI Intern

DataRobot

Boston, MA • Remote

Internship

Medical, Dental, Vision

Posted 27 days ago

Job description

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real team, working on real problems, and is expected to deliver meaningful output over the course of the program. This is how we identify and develop the next generation of AI practitioners who will carry DataRobot's mission forward.

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE resolution workflows (triage, impact assessment, dependency upgrades, and verification) and support ticket lifecycle management (categorization, diagnosis, routing, status updates, and resolution documentation). You will design and build agentic AI solutions that reduce manual toil and free engineers to focus on higher-order problems. This is a fully remote position. The program runs approximately 6 months.

WHAT YOU'LL DO:

  • Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management

  • Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions

  • Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

  • Work autonomously on defined project deliverables while staying aligned with your mentor and team

  • Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership

  • Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks

  • Document your work thoroughly so findings and solutions can be handed off and extended after the program

WHAT YOU'LL LEARN:

Agentic AI & Autonomous Systems

  • Design and implementation of multi-agent systems and autonomous reasoning loops

  • Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents

  • Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation

Platform & Product

  • End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and API integrations

  • How to automate the ML lifecycle from data ingestion through deployment and monitoring

Business Acumen & Use Case Development

  • How to identify and size AI opportunities within real engineering workflows

  • How to communicate technical findings to both technical and non-technical stakeholders

Communication & Collaboration

  • Async-first collaboration using Slack, Confluence, and structured project updates

  • How to present technical work clearly to senior leaders at a live Intern Showcase

PROGRAM STRUCTURE:

Phase I - Month 1: Onboarding & Foundation

Get oriented to DataRobot's culture, tools, and platform. Complete structured training, co-create your Individual Learning Plan (ILP) with your mentor, and begin shadowing team members on real work.

Phase II - Months 2-3: Core Project Execution

Take ownership of a defined project scoped by your team. Work moves from guided to increasingly independent as you demonstrate competency. Expect weekly feedback from your mentor and regular touchpoints with your Buddy.

Phase III - Months 4-6: Synthesis & Showcase

Finalize your deliverables, document your findings, and prepare for the Intern Showcase - a live presentation to DataRobot leaders and peers. Optional rotations or cross-functional exposure may be available based on performance and team need.

WHAT WE'RE LOOKING FOR:

Required:

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field

  • Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting

  • Foundational understanding of machine learning concepts - supervised learning, model evaluation, feature engineering

  • Deep passion for autonomous agents - you have experience building systems that "do" rather than just "chat"

  • Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences

  • Ability to work independently, manage ambiguity, and escalate blockers appropriately

Nice to Have:

  • Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)

  • Familiarity with the DataRobot platform or other MLOps/AutoML tools

  • Experience with API development (FastAPI, Flask) or containerization (Docker)

  • Prior internship, research, or project experience applying ML to real-world problems

  • Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate


Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.


Use of Artificial Intelligence in Our Hiring Process


DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

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