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Data Research Intern Jobs in Michigan (NOW HIRING)

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... data attribution. Your goal will be to publish your findings in a top-tier conference. You are ...

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... data attribution. Your goal will be to publish your findings in a top-tier conference. You are ...

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... data attribution. Your goal will be to publish your findings in a top-tier conference. You are ...

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... data attribution. Your goal will be to publish your findings in a top-tier conference. You are ...

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... data attribution. Your goal will be to publish your findings in a top-tier conference. You are ...

Showing results 21-40

Data Research Intern information

See Michigan salary details

$10

$19

$36

How much do data research intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data research intern in Michigan is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $21.39 per hour, depending on experience, location, and employer.

What does a data research intern do?

A Data Research Intern assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. Their responsibilities often include cleaning data sets, conducting literature reviews, supporting research projects, and preparing reports or presentations based on their findings. Interns may also use tools like Excel, Python, or R to process data and gain insights. This role provides hands-on experience in both quantitative and qualitative research methods and often serves as a foundation for a career in data analysis or research.

What types of projects and tasks can a data research intern expect to work on during their internship?

As a Data Research Intern, you can expect to be involved in a variety of projects, such as gathering and cleaning large datasets, conducting exploratory data analysis, and supporting senior analysts with research tasks. You may help design surveys, scrape data from public sources, or assist in building dashboards and reports. Collaboration is common, as you'll often work closely with data scientists, business analysts, and other interns to solve real-world business problems. This hands-on experience provides valuable exposure to industry-standard tools and workflows, helping you build practical skills for a future career in data.

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

To thrive as a Data Research Intern, you need strong analytical skills, attention to detail, and a foundational understanding of statistics and research methodologies, typically gained through coursework in data science, mathematics, or a related field. Familiarity with data analysis tools such as Excel, Python, R, and experience with databases or visualization platforms like Tableau is highly valuable. Curiosity, effective communication, and problem-solving abilities help interns stand out when interpreting data and presenting findings. These skills are crucial for accurately collecting, analyzing, and conveying insights that support organizational decision-making.

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

AspectData Research InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship setting, often in research or academic projectsFull-time or part-time in corporate, tech, or consulting firms
Employer & Industry UsageResearch institutions, universities, tech startupsBusinesses across industries, including finance, marketing, tech
Search & Comparison IntentUnderstanding entry-level research roles, internshipsAnalyzing data roles, career progression

While both roles involve working with data, a Data Research Intern typically focuses on assisting with research projects and gaining experience, often as a student or recent graduate. A Data Analyst usually handles data analysis tasks in a professional setting, making data-driven decisions for organizations. The roles differ mainly in experience level, scope, and employment setting.

Do data research interns get paid?

Data research interns are often paid positions, especially if they are part of a formal internship program at a company or organization. Compensation can vary based on the employer, location, and whether the internship is paid or unpaid, but paid internships are common for this role. Interns typically gain experience with data analysis tools and research methods during their paid internship period.

What is a data research intern?

A data research intern is a position involving collecting, analyzing, and interpreting data to support organizational decision-making. The role often requires skills in data tools like Excel or SQL and may involve working under supervision for a limited duration, such as during an internship or summer program.

What are the most commonly searched types of Data Research jobs in Michigan?

The most popular types of Data Research jobs in Michigan are:

What cities in Michigan are hiring for Data Research Intern jobs?

Cities in Michigan with the most Data Research Intern job openings:

Advanced Engineering & Research Intern

Isuzu Motors America LLC

Plymouth, MI โ€ข On-site

$20 - $34/hr

Other

Re-posted 21 days ago


Job description

Isuzu Technical Center of America is seeking an Advanced Engineering & Research Intern to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.
JOB SUMMARY
Supports advanced engineering and research for Level 4 autonomous driving by developing, evaluating, and applying multimodal AI models - including vision-language models (VLMs), vision-language-action models (VLAs), large language models (LLMs), and world models - for data triage, autonomous driving system development, simulation, and verification and validation (V&V). Works closely with Isuzu U.S. and Japan teams, well known autonomous driving partners, and research institutes to build AI-assisted workflows for mining on-road data, identifying edge cases, generating and curating scenarios, analyzing perception/prediction/planning behavior, and improving simulation-based safety evaluation. Works at the intersection of vehicle engineering, robotics, machine learning, data engineering, and safety assurance. Performs tasks of increasing complexity throughout the internship.
% of time spenton each activity
PRINCIPAL DUTIES & RESPONSIBILITIES
30%
1.
Researches, prototypes, and evaluates VLM, VLA, LLM, and world model approaches for automated data triage, semantic scene understanding, edge-case discovery, and autonomous vehicle safety analysis.
20%
2.
Analyzes multimodal on-road and simulation data (camera, LiDAR, radar, GPS/IMU, CAN, and system logs) to identify safety trends, model failure modes, and data-quality gaps.
20%
3.
Supports scenario mining, generation, and simulation V&V workflows to test autonomous driving perception, prediction, planning, and control behavior.
20%
4.
Collaborates with engineers to integrate AI model outputs into autonomous driving development tools, metrics, dashboards, and simulation pipelines.
10%
5.
Prepares and communicates technical findings, experiment results, and recommended next steps to teams across the U.S. and Japan.
6.
Performs miscellaneous job-related duties as assigned.
ORGANIZATIONAL RELATIONSHIPS
  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING
  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, Artificial Intelligence/Machine Learning, or a related field
  • Academic focus or coursework in autonomous systems, ML/DL/RL, VLMs, VLAs, LLMs, generative AI, world models, computer vision, sensor fusion, vehicle dynamics, simulation, or V&V is preferred
  • Prior internship, research, or project experience with multimodal data, LLM/VLM evaluation, simulation, autonomous driving/robotics, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended, 3.5+ preferred)

KNOWLEDGE
  • Foundational understanding of data analysis, statistics, ML/DL/RL, model evaluation, and data curation for large-scale multimodal datasets
  • Basic knowledge of autonomous driving architecture, vehicle sensors, data logs, scenario-based testing, simulation V&V, and vehicle safety systems is a plus

SKILLS & ABILITIES
  • Strong analytical, research, and problem-solving skills
  • Proficiency in Python; familiarity with C++, Linux, Git, SQL, or data pipeline tools
  • Familiarity with ML and simulation tools (e.g., PyTorch, Hugging Face, OpenCV, ROS/ROS 2, CARLA, Simulink, or equivalent) is a plus
  • Ability to evaluate and document AI model behavior, limitations, safety implications, and V&V results
  • Effective communication; ability to work independently and collaboratively across U.S. and Japan teams

PHYSICAL STANDARDS
The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.
#ITCA