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Label Jobs in Michigan (NOW HIRING)

Senior AI/ML Engineer

Lansing, MI · On-site +1

$106K - $145K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

The Plastics Machine Operator will pick up plastic parts on a conveyor belt, checking for visual quality defects, labeling the parts and walking them over to a workstation. Shift(s) Available for ...

The Plastics Machine Operator will pick up plastic parts on a conveyor belt, checking for visual quality defects, labeling the parts and walking them over to a workstation. Shift(s) Available for ...

The Plastics Machine Operator will pick up plastic parts on a conveyor belt, checking for visual quality defects, labeling the parts and walking them over to a workstation. Shift(s) Available for ...

Packaging Associate - 1st Shift

Kentwood, MI · On-site

$13.75 - $17/hr

Advantage Label & Packaging (A UFP Packaging Company), was built upon the belief that relationships are the fundamental elements for success. From our customers and vendors to our team members, our ...

Press Operator II - 2nd Shift

Kentwood, MI · On-site

$15.25 - $19.75/hr

Advantage Label and Packaging was built upon the belief that relationships are the fundamental elements for success. From our customers and vendors to our team members, our goal is to create ...

Press Operator II - 1st Shift

Kentwood, MI

$15.25 - $19.75/hr

Advantage Label and Packaging was built upon the belief that relationships are the fundamental elements for success. From our customers and vendors to our team members, our goal is to create ...

Advantage Label & Packaging ( A UFP Packaging Company ), was built upon the belief that relationships are the fundamental elements for success. From our customers and vendors to our team members, our ...

Press Operator II - 1st Shift

Kentwood, MI · On-site

$15.25 - $19.75/hr

Advantage Label and Packaging was built upon the belief that relationships are the fundamental elements for success. From our customers and vendors to our team members, our goal is to create ...

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Label information

See Michigan salary details

$12

$21

$30

How much do label jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for label in Michigan is $21.83, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Label Specialist, and why are they important?

To thrive as a Label Specialist, you need a strong understanding of labeling regulations, attention to detail, and experience with packaging or product compliance, often supported by relevant industry knowledge or a background in quality assurance. Familiarity with labeling software, regulatory databases, and sometimes certifications like HACCP or GMP are typically required. Excellent organizational skills, clear communication, and the ability to collaborate across departments help someone excel in this position. These skills are crucial to ensure regulatory compliance, accurate product information, and to minimize costly labeling errors.

What is a Label job?

A Label job typically involves organizing, tagging, or categorizing items, data, or products for identification and tracking. This can include labeling physical merchandise, managing digital tags, or ensuring compliance with industry standards. Labeling roles are common in warehouses, retail, data management, and manufacturing industries. Accuracy and attention to detail are important skills for this job.

What are labelers and what do they do?

Labelers are professionals or workers who classify, tag, or annotate data, items, or products with relevant information. In industries like manufacturing or retail, labelers physically attach labels to products for identification or compliance purposes. In tech and data industries, labelers often tag images, text, or audio data to help train machine learning models. Their work ensures that products are correctly identified and that datasets are organized for use in AI and analytics.

What are some typical challenges faced by a Label Specialist in maintaining data accuracy and consistency?

One common challenge for Label Specialists is ensuring data accuracy and consistency when labeling large and complex datasets, especially when multiple team members are involved. Ambiguous labeling guidelines or evolving project requirements can lead to discrepancies, so attention to detail and strong communication skills are essential. Collaborating closely with data scientists, project managers, and quality assurance teams helps resolve ambiguities and maintain high-quality output, which is crucial for training reliable machine learning models.

How do labels get paid?

In the music industry, labels typically get paid through a combination of record sales, streaming revenue, licensing, and royalties. They often earn a percentage of the revenue generated from the artist’s work, with payment structures depending on contracts that specify advances, royalty rates, and recoupment terms. Payment is usually processed periodically, such as quarterly or annually, based on sales reports and streaming data.

What is the difference between Label vs Data Annotator?

AspectLabelData Annotator
Primary RoleAssigns labels or categories to dataPerforms data annotation tasks, including labeling
Required SkillsUnderstanding of labeling guidelines, attention to detailData annotation techniques, accuracy, and consistency
Work EnvironmentOften part of data labeling teams, may work in AI/ML companiesSimilar, working in data annotation projects for AI training
CertificationsNot typically required, but relevant training helpsSame as Label, often on-the-job training

Both Label and Data Annotator roles involve working with data to prepare it for machine learning models. Labels are the categories or tags assigned to data, while Data Annotators perform the actual task of applying these labels. The roles overlap significantly, with the main difference being the focus: Label refers to the task or concept, and Data Annotator is the job position performing that task.

What job makes $10,000 a month without a degree?

A labeler or data annotator can earn around $10,000 a month through high-volume freelance or contract work, especially in fields like AI training or image labeling. Success in such roles often depends on efficiency, experience, and the ability to work independently, with some earning higher rates by managing multiple projects or working for specialized companies.

What is a label job?

A label job typically involves working for a record label, clothing brand, or product label, and includes tasks such as managing branding, marketing, or production processes. These roles often require organizational skills, knowledge of industry standards, and may involve working with creative or technical teams.

What jobs pay 400 an hour?

High-paying jobs that can reach $400 an hour typically include specialized roles such as experienced surgeons, anesthesiologists, corporate lawyers, or senior management consultants. These positions often require advanced education, extensive experience, and specialized skills, and they may involve consulting, legal work, or medical procedures performed in private practices or high-demand environments.
What are the most commonly searched types of Label jobs in Michigan? The most popular types of Label jobs in Michigan are:
What are popular job titles related to Label jobs in Michigan? For Label jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Label jobs? Cities in Michigan with the most Label job openings:
Infographic showing various Label job openings in Michigan as of June 2026, with employment types broken down into 71% Full Time, 6% Temporary, 6% Contract, and 17% Nights. Highlights an 100% In-person job distribution, with an average salary of $45,408 per year, or $21.8 per hour.
Senior Consultant - Microsoft Purview & M365 Compliance Governance

Senior Consultant - Microsoft Purview & M365 Compliance Governance

Proactive Technology Management

Ferndale, MI • On-site

Contractor

Posted 8 days ago


Job description

The role in one sentence
Lead the Microsoft Purview and M365 compliance lane of a 90-day governance engagement that turns a Fortune-class regulated enterprise's data, DLP, and Copilot exposure surface into a classified, labeled, retained, audited capability - and convert into a PTM Fusion full-time hire on successful delivery.
Why this role exists
Proactive Technology Management (PTM) Fusion has committed to a 90-day governance program for a Fortune-class regulated enterprise client. The program has two delivery lanes running in parallel - Power Platform / Copilot Studio CoE & ALM and Microsoft Purview / M365 Compliance. This posting is for the Purview / M365 lane.
The engagement runs in two phases:
  • Phase 1 - Discovery & Assess (30 days). Inventory the client's M365 information protection posture: existing sensitivity labels, DLP policies, retention framework, audit configuration, classification accuracy, and Copilot AI exposure. Map current state against PTM and Microsoft baselines. Quantify the risk and ROI of remediation. Deliver a prioritized governance backlog.
  • Phase 2 - Implement & Govern (60 days). Stand up a label taxonomy and auto-labeling policy. Deploy or tune DLP across Exchange, SharePoint, OneDrive, Teams, and Endpoint. Operationalize retention, records management, and audit. Configure Purview-for-Copilot DSPM-for-AI controls. Wire the whole estate into Azure Monitor and Log Analytics so governance posture is observable, not assumed.

You will work in lockstep with a Power Platform CoE / ALM specialist who owns the Power Platform side. The two lanes share a Solution Architecture Document, a milestone roadmap, and a value metric - so coordination matters.
What you'll deliver
  • A complete inventory of existing Purview, DLP, retention, and audit configuration, with a risk-ranked gap analysis against PTM and Microsoft reference architectures.
  • A sensitivity label taxonomy the business actually understands, with manual labeling guidance and auto-labeling policies (client-side and service-side) tuned for low false-positive rate.
  • DLP policies across Exchange, SharePoint, OneDrive, Teams, and Endpoint DLP, with explicit incident triage, exception, and override workflows. Coordination with Power Platform DLP through the Power Platform lane.
  • A retention label and policy framework covering record categories, disposition review, and litigation-hold posture.
  • Microsoft Purview Audit configuration (Standard or Premium tier as scoped), audit log retention, and export pipeline to the client's downstream SIEM.
  • Microsoft Compliance Manager assessment selection, improvement-action plan, and executive reporting cadence.
  • Purview for Copilot governance - DSPM-for-AI configuration, sensitivity-aware grounding rules, prompt and response audit, and red-team review of high-exposure agents in coordination with the Power Platform lane.
  • Azure Monitor and Log Analytics observability - diagnostic settings on M365 audit and DLP signals, KQL workbooks for label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on policy drift, and an executive dashboard reporting against the value metric agreed during Discovery.
  • Solution Architecture Document (SAD), Solution Design Document (SDD), and milestone roadmap authored against PTM templates and reviewed under our Maker-Checker discipline.

Who you are
You can sit with a Chief Information Security Officer at 9 a.m., a records-management lead at 11 a.m., and a SharePoint admin at 2 p.m. - and leave each conversation with the same coherent governance picture in mind. You communicate in plain language to business owners and in precise technical terms to engineers, often in the same meeting.
You believe a label taxonomy is a product, not a deliverable. You measure success in incidents avoided, audits passed, and ROI delivered - not in policies authored.
Requirements
Microsoft Purview & M365 governance (depth required)
  • 5+ years delivering Microsoft Purview / M365 information protection in enterprise or mid-market environments, with at least 2 full lifecycles of label taxonomy design and deployment.
  • Microsoft Purview Information Protection - label taxonomy design, manual labeling, auto-labeling policies (client-side and service-side), label-driven encryption, and rights management.
  • Microsoft Purview Data Loss Prevention across Exchange, SharePoint, OneDrive, Teams, and Endpoint DLP - policy authoring, simulation mode, incident triage, exception workflow, and tuning to keep false-positive rate inside a defensible band.
  • Data classification using built-in, custom keyword, custom regex, exact-data-match, and trainable classifiers - including the data-engineering work to seed and validate them.
  • Retention labels and retention policies, records management, disposition review, and litigation-hold posture.
  • Microsoft Purview Audit (Standard and Premium) - audit log search, export, retention, and downstream SIEM integration.
  • SailPoint - Proven expertise with Identity Governance & Administration (IGA) platforms, specifically SailPoint
    • Hands-on experience implementing, configuring, and maintaining SailPoint solutions (e.g., IdentityIQ, IdentityNow)
  • Microsoft Compliance Manager - assessment selection, improvement actions, control implementation evidence, and executive reporting.
  • Purview for Copilot - DSPM-for-AI configuration, sensitivity-aware grounding, prompt and response auditing for Microsoft Copilot for M365 and Copilot Studio agents.
Identity & adjacent surfaces (depth required)
  • Microsoft Entra ID - conditional access, sensitivity-label-bound access policies, and the binding between identity, label, and DLP enforcement.
  • Working knowledge of Power Platform DLP so the M365 and Power Platform DLP surfaces compose coherently - you will partner with the Power Platform lane on this, but you must be able to reason about it end-to-end.
  • Microsoft Defender for Cloud Apps for shadow-IT discovery and SaaS DLP enrichment, where in scope.
Observability (depth required)
  • Azure Monitor and Log Analytics - workspace design, diagnostic settings for M365 audit and Purview signals, KQL fluency, workbook authoring, alert rules, and action groups.
  • Microsoft Sentinel integration for governance signals and audit-log SIEM tier - connector deployment, analytic rule authoring, and incident workflow.
  • Power BI dashboards that report a value metric a non-technical executive can act on (label coverage, DLP incident rate, retention drift, AI prompt-risk).
Consulting craft (depth required)
  • Demonstrated ability to author and present architecture artifacts to a CTO-level audience: C4 diagrams, SADs, SDDs, milestone roadmaps.
  • A discovery toolkit you actually use - Lean UX, BPMN, Event Storming, or comparable methods for translating ambiguous client problems into a prioritized backlog with measurable outcomes.
Strongly Preferred
  • Microsoft certifications: SC-400 (Information Protection & Compliance Administrator), SC-100 (Cybersecurity Architect Expert), SC-200 (Security Operations Analyst), SC-300 (Identity & Access Administrator).
  • Hands-on with Microsoft Priva for privacy management, data subject requests, and privacy risk policies.
  • eDiscovery (Standard and Premium) - case management, custodian holds, advanced indexing, and review-set culling.
  • Insider Risk Management and Communication Compliance policy design.
  • Experience with regulated frameworks - HIPAA, HITRUST, SOC 2, ISO 27001, FDA 21 CFR Part 11, GDPR, GLBA - and the documentation discipline they require.
  • Prior delivery in regulated environments (medical device, life sciences, healthcare, or financial services).
  • Experience as a subcontractor or partner-of-partner - you know how to represent PTM cleanly inside multi-vendor delivery teams and inside the end client's governance forums.
How you work
  • Search before assumptions. You verify against current docs, the client tenant, and runtime evidence before recommending. Confidence without evidence is not a substitute for either.
  • Contracts before code. You define the interface - label taxonomy, DLP policy, retention schedule, audit retention - before anyone publishes against it.
  • Validators before delivery. Every label, every DLP rule, every retention policy ships with a test that proves it works and an alert that fires when it stops working.
  • Maker-Checker over solo heroics. You welcome a second pair of eyes on every material design decision, and you give the same in return.
  • Plain language. A 12-year-old can follow your milestone narrative. A CISO trusts your governance posture. A business owner sees the ROI line.
Engagement details
  • Engagement structure. Contract-to-hire. Initial term covers the full 90-day engagement (30 days Discovery + 60 days Implementation). Conversion to PTM Fusion full-time hire on successful delivery and mutual fit.
  • Capacity. One full-time-equivalent role, paired with a Power Platform CoE / ALM specialist on the same engagement.
  • Location. Remote, US-based. Occasional travel to client sites; expect no more than one trip per month during Implementation.
  • Compensation. Competitive contract rate during the engagement; market-aligned base, performance bonus, and benefits package on conversion. Final terms commensurate with experience and certifications.
  • Start. Immediate. Discovery kicks off as soon as the right candidate is in seat.

Benefits
Possibility of contract-to-hire