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Ai Data Collection Jobs in Michigan (NOW HIRING)

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 ...

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 ...

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 ...

Apply Early

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 ...

Apply Early

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 ...

Apply Early

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 ...

Apply Early

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 ...

Apply Early

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 ...

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 ...

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 ...

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 ...

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 ...

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

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

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

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Ai Data Collection information

See Michigan salary details

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How much do ai data collection jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for ai data collection in Michigan is $22.06, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $22.64 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and leadership responsibilities.

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

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

Which AI job is high paying?

In AI data collection, roles that involve managing large datasets, developing data pipelines, or working with advanced tools like machine learning frameworks tend to be higher paying. Positions requiring specialized skills, certifications, or experience in data annotation, labeling, or quality assurance often command higher salaries due to their technical complexity and importance in AI development.

What is an AI Data Collection job?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

Which 3 jobs will survive AI?

AI Data Collection specialists are likely to continue to be in demand as they gather and annotate data essential for training AI models. Jobs that require complex human judgment, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to replicate fully.

What is an AI data collection job?

An AI data collection job involves gathering and labeling data such as images, text, or audio to train machine learning models. Workers often use online platforms, require attention to detail, and may need basic knowledge of data annotation tools or guidelines.

What are the key skills and qualifications needed to thrive in the Ai Data Collection position, and why are they important?

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

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 Ai Data Collection jobs in Michigan? For Ai Data Collection jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Data Collection jobs in Michigan look for? The top searched job categories for Ai Data Collection jobs in Michigan are:
What cities in Michigan are hiring for Ai Data Collection jobs? Cities in Michigan with the most Ai Data Collection job openings:

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Posted 2 days ago


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.