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Day Shift Traffic Data Collection Jobs in Michigan

Our field data collection teams are spread across Europe and North America, ready to accept new ... The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and ...

Retail Data Collection Associate - PT

Adrian, MI · On-site

$13.75 - $15.75/hr

Equal Opportunity Employer As a retail data collection associate, you would be a part of our ... To do this, you would spend the majority of your day walking and standing on the sales floor using ...

Senior Traffic Operations Engineer

Novi, MI

$81K - $111K/yr

This position will be assigned to a PM Traffic Operations Engineer shift. Hours are expected to ... data collection systems, and traffic analysis and simulation software * Experience with managing ...

Senior Traffic Operations Engineer

Detroit, MI · On-site

$86K - $117K/yr

This position will be assigned to a PM Traffic Operations Engineer shift. Hours are expected to ... data collection systems, and traffic analysis and simulation software * Experience with managing ...

Senior Traffic Operations Engineer

Detroit, MI · On-site

$86K - $117K/yr

This position will be assigned to a PM Traffic Operations Engineer shift. Hours are expected to ... data collection systems, and traffic analysis and simulation software * Experience with managing ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and ...

Showing results 21-40

Day Shift Traffic Data Collection information

What is the difference between Day Shift Traffic Data Collection vs Night Shift Traffic Data Collection?

AspectDay Shift Traffic Data CollectionNight Shift Traffic Data Collection
CredentialsTypically requires basic data collection and traffic monitoring certificationsSimilar certifications, may include additional safety training for night work
Work EnvironmentOutdoor, daylight hours, less traffic congestionOutdoor, nighttime hours, potentially lower traffic but increased safety concerns
Employer & Industry UsageUsed by transportation agencies, urban planning, and traffic managementUsed by similar agencies, often for 24-hour traffic analysis and safety studies

Day Shift Traffic Data Collection involves gathering traffic data during daytime hours, focusing on peak and off-peak periods with better visibility. Night Shift Traffic Data Collection occurs during nighttime hours, often requiring additional safety protocols. Both roles share similar certifications and industry usage, but differ mainly in work hours and environmental conditions.

What are popular job titles related to Day Shift Traffic Data Collection jobs in Michigan?

For Day Shift Traffic Data Collection jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Day Shift Traffic Data Collection jobs?

Cities in Michigan with the most Day Shift Traffic Data Collection job openings:

Infographic showing various Day Shift Traffic Data Collection job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Position: Robotics Data Collection Engineer

Location: Warren, Michigan (Onsite)

Duration: 12+Months with possible extensions

Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)

Position Summary:

Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this hands-on role, you will work directly with advanced robotic systems to collect, organize, and validate training data that enables AI-powered robotic manipulation in automotive manufacturing. You will contribute to building the datasets that power the next generation of intelligent manufacturing automation at Warren Technical Center.

Key Responsibilities:

  • Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments.
  • Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware.
  • Organize, label, and validate data according to established annotation guidelines and quality standards.
  • Perform manual annotation and verification when necessary to generate high-quality ground truth labels.
  • Execute data collection campaigns following documented protocols and experimental designs.
  • Troubleshoot data collection issues and document problems for engineering teams.
  • Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements.

Required Qualifications:

  • College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred).
  • Ability to work on-site at Warren Technical Center, 5 days per week.
  • Attention to detail and ability to follow technical procedures and documentation.
  • Reliability, accountability, and ability to work independently and as part of a team.
  • Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms.
  • Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines.
  • Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data.

Preferred Qualifications:

  • Experience with robotics, manufacturing, or data collection.
  • Familiarity with Python, Linux, or data tools (beneficial but not required).
  • Experience operating or troubleshooting technical equipment.
  • Basic understanding of machine learning, AI, or data annotation concepts.
  • Experience in automotive or manufacturing environments.

What is Offered:

•              Hands-on experience with cutting-edge robotics and AI technology.

•              Opportunity to contribute to transformative manufacturing automation.

•              Collaborative team environment with world-class engineers and researchers.