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Temporary Ai Data Collection Jobs in Michigan (NOW HIRING)

TSMG

Mapping Data Collection Driver

Marquette, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

TSMG

Mapping Data Collection Driver

Marquette, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

TSMG

Mapping Data Collection Driver

Detroit, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

TSMG

Mapping Data Collection Driver

Detroit, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

TSMG

Mapping Data Collection Driver

Traverse City, MI · On-site

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

TSMG

Mapping Data Collection Driver

Kalamazoo, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

TSMG

Mapping Data Collection Driver

Kalamazoo, MI

Our field data collection teams are spread across Europe and North America, ready to accept new ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Experience with data collection from edge devices * Experience supporting ML workflows, including ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Experience with data collection from edge devices * Experience supporting ML workflows, including ...

HTC Global Services Inc

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

... collection, storage, processing, and analytics. The ideal candidate has experience with Google ... Strong understanding of AI-assisted development tools, including Gemini Code Assist, OpenCode, and ...

HTC Global Services

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

... collection, storage, processing, and analytics. The ideal candidate has experience with Google ... Strong understanding of AI-assisted development tools, including Gemini Code Assist, OpenCode, and ...

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All JobsAi Data Collection JobsTemporary Ai Data Collection JobsTemporary Ai Data Collection Jobs in Michigan

Temporary Ai Data Collection information

What is temporary AI data collection?

Temporary AI data collection is a short-term job where individuals gather, label, or organize data used to train artificial intelligence systems. This can involve tasks such as taking photos, recording audio, transcribing text, or annotating images and videos according to specific guidelines. The work is often project-based and helps improve the accuracy and performance of AI models. People in these roles play a vital part in ensuring that AI systems learn from diverse, well-organized, and correctly labeled data.

What are the key skills and qualifications needed to thrive as a Temporary AI Data Collection Specialist, and why are they important?

To thrive as a Temporary AI Data Collection Specialist, you need attention to detail, basic data entry skills, and the ability to follow structured guidelines, often with a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and cloud-based collaboration tools is typically required. Reliability, adaptability, and strong communication skills help ensure accurate data collection and effective teamwork. These skills are important for producing high-quality datasets that improve AI models and support project goals.

What is the difference between Temporary Ai Data Collection vs Data Annotator?

AspectTemporary Ai Data CollectionData Annotator
CredentialsBasic computer skills, sometimes familiarity with data collection toolsAttention to detail, basic technical skills, sometimes training in annotation tools
Work EnvironmentRemote or on-site, often flexible hoursRemote or on-site, focused on labeling data
Industry UsageUsed in AI training data gathering, machine learning projectsUsed in preparing datasets for AI models, image/video/text annotation

Temporary Ai Data Collection involves gathering raw data for AI training, often requiring data sourcing skills. Data Annotator focuses on labeling and annotating data to make it usable for machine learning. Both roles are essential in AI development but differ in their specific tasks and skill requirements.

What does a typical day look like for someone in a Temporary AI Data Collection role?

In a Temporary AI Data Collection position, your daily tasks often involve gathering, labeling, and organizing large sets of data—such as images, text, or audio—that will be used to train machine learning models. You may work independently or as part of a team, following specific guidelines to ensure data accuracy and consistency. Attention to detail is crucial, as even small errors can impact the quality of AI systems. Collaboration with project managers or data scientists is common, especially when clarifying data requirements or resolving ambiguities. The work environment is typically fast-paced, with clear deadlines and performance metrics to meet.
What are the most commonly searched types of Ai Data Collection jobs in Michigan? The most popular types of Ai Data Collection jobs in Michigan are:
What are popular job titles related to Temporary Ai Data Collection jobs in Michigan? For Temporary Ai Data Collection jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporary Ai Data Collection jobs in Michigan look for? The top searched job categories for Temporary Ai Data Collection jobs in Michigan are:
What cities in Michigan are hiring for Temporary Ai Data Collection jobs? Cities in Michigan with the most Temporary Ai Data Collection job openings:
Temporary Ai Data Collection jobs near you
Infographic showing various Temporary Ai Data Collection job openings in Michigan as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Re-posted yesterday

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.