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Data Labeling Jobs in Michigan (NOW HIRING)

Hobbsnews

Manager, Data Posture Monitoring

Troy, MI · On-site

Partner with data discovery and classification teams to incorporate data labels, sensitive-data types, data ownership, and business context into DLP design. * Establish cross-functional execution ...

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Data Labeling information

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

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

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

What are popular job titles related to Data Labeling jobs in Michigan?

For Data Labeling jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Labeling jobs in Michigan look for?

The top searched job categories for Data Labeling jobs in Michigan are:

What cities in Michigan are hiring for Data Labeling jobs?

Cities in Michigan with the most Data Labeling job openings:

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Entry Level Support Specialist

Pontiac, MI

United Wholesale Mortgage
Finance and Insurance • 5 - 10K employees
Learn more about United Wholesale Mortgageexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

United Wholesale Mortgage rating

7.6

Company rating: 7.6 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

Job description

Overview

United Wholesale Mortgage is firmly committed to excellence and empowers individuals to become the best version of themselves. We provide opportunities to individuals who want to excel within the mortgage industry. We are an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

  • Paid time off (PTO)
  • Promotion and growth opportunities offered
  • Comprehensive health, dental and vision benefits offered
  • Weekly paychecks
  • Free 24/7 gym
  • Complimentary fruit and drinks

Responsibilities

  • Entering and validating data
  • Labeling and organizing loan documents
  • Ordering and verifying income documentation
  • Monitoring requirements for a loan to be approved
  • Reviewing state and federal compliance information
  • Handling inbound and outbound calls

Qualifications

Qualifications:

  • High school diploma or equivalent
  • Comfortable using computers to look up information, read and write emails and use basic office software
  • Ability to communicate clearly and professionally, including over the phone
  • Process-oriented with strong organizational skills
  • Positive attitude with a willingness to learn
  • Experience working in a professional office, retail, customer service or similar setting

What United Wholesale Mortgage employees say

Pay

Benefits

Hours and flexibility

Workplace

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