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Data Labeling Jobs in Michigan (NOW HIRING)

Flagstar Bank

Principal Technology Engineer

Troy, MI · On-site

... data labeling within Microsoft Purview • Strong knowledge related to data loss prevention policies and governance. • Strong knowledge of Intune managed devices, MDM, MAM, and zero touch ...

UWM

Document Retrieval Specialist

Pontiac, MI · On-site

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 ...

UWM

Document Retrieval Specialists

Pontiac, MI · On-site

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 ...

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Data Labeling information

What are the key skills and qualifications needed to thrive in the Data Labeling position, 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.

What is a Data Labeling job?

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 is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations. It is often performed remotely and may involve repetitive tasks with flexible schedules.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or remote, with pay rates varying across platforms and employers.

How do I become a data labeler?

To become a data labeler, you typically need basic computer skills, attention to detail, and the ability to follow instructions. Many positions require no formal degree and offer flexible, part-time schedules; familiarity with data annotation tools or platforms is often helpful. Applying through online job boards or company websites is common for entry-level roles.

Is data labelling a good career?

Data labeling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and basic computer skills. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.
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 July 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Contract. Highlights an 100% In-person job distribution.
Principal Technology Engineer

Principal Technology Engineer

Flagstar Bank

Troy, MI • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Flagstar Bank is seeking a Principal Technology Engineer who is a hands-on technical expert responsible for managing the backend compute environment and ensuring compliance with regulatory guidelines. The role involves overseeing system stability, managing compliance processes, and collaborating with cross-functional teams to enhance infrastructure reliability and audit readiness.
Responsibilities:
• Manage Systems, configurations, and system stability
• Technical engineer overseeing development of Microsoft M365 / Purview solutions to protect company assets
• Provides monitoring and resolution support for alerts generated by Microsoft Purview, DLP and certificate management related systems
• Provides certificate management and maintenance to enterprise systems leveraging tools such as CyberArk and Venafi.
• Provides final oversight on high-risk platform upgrades and migrations.
• Owns overall compliance posture for backend systems, ensuring full adherence to FFIEC guidelines, audit requirements, and IT risk management policies.
• Coordinates with internal audit, risk, and compliance teams to deliver accurate evidence and remediation plans.
• Drives continuous improvement of compliance processes to reduce audit findings and enhance security posture.
• Monitors and maintain Microsoft Purview, Microsoft Defender, and corporate certificate systems
• Acts as escalation point for major incidents and coordinate with leadership during crisis events.
• Delivers and collaborates with infrastructure teams to ensure technology decisions align with enterprise goals.
• Champions disaster recovery planning, test execution, and after-action review improvements.
• Ensures all backend system documentation is accurate, current, and meets audit standards.
• Reviews and approve daily/weekly/monthly operational and compliance reports before submission to leadership.
• Promotes documentation as a core operational discipline across the team, setting expectations and accountability for quality.
• Reports team performance metrics and operational health to IT leadership.
• Ensure we are aligning IT solutions with the needs of the business.
• Performs special projects, and additional duties and responsibilities as required.
• Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.
Qualifications:
Required:
• Education level required: High School / High School Equivalency (GED, HiSET, TASC) / Foreign Equivalent Computer Science or related field.
• Minimum experience required: 10+ Years managing large scale technology.
• Minimum experience required: 8+ Years of technical expertise in one or more domain platforms
• 1+ years of coaching/mentoring experience with technology professionals
• Proficient with Microsoft and Linux operating systems.
• Proficient with certificate management
• Strong knowledge related to Microsoft 365 environments including Entra, Defender and Purview.
• Strong knowledge of Data Governance specifically data classification, data retention, data lifecycle management and data labeling within Microsoft Purview
• Strong knowledge related to data loss prevention policies and governance.
• Strong knowledge of Intune managed devices, MDM, MAM, and zero touch deployments.
• Working knowledge of Disaster Recovery execution.
• Familiarity with Ansible and infrastructure automation workflows.
• Demonstrated understanding of system lifecycle, patching, and EOL remediation.
• Awareness of FFIEC, SOX, HIPAA, NIST or similar compliance frameworks.
• Strong documentation and cross-functional communication skills.
Preferred:
• Education level preferred: Undergraduate Degree (4 years or equivalent)
• Technical certifications such as: Microsoft Certified Professional - Windows Server Hybrid Administrator Associate, CompTIA Server+, Certified Information Systems Auditor (CISA)
Company:
Thank you for visiting Flagstar Bank, N.A. on LinkedIn, and we look forward to being part of your financial journey. Founded in 1987, the company is headquartered in Troy, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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