Milford, MI · On-site
$109K - $197K/yr
Maintaining data lineage documentation, AI model nutrition labels, and data bill of materials (DBOM). Data Bill of Materials (DBOM): Experience establishing Data/Model Cards, AI Nutrition Labels, and ...
Milford, MI · On-site
$109K - $197K/yr
Maintaining data lineage documentation, AI model nutrition labels, and data bill of materials (DBOM). Data Bill of Materials (DBOM): Experience establishing Data/Model Cards, AI Nutrition Labels, and ...
Novi, MI · On-site
Adhere to data governance standards around content lifecycle, sensitivity labeling, and permission remediation in partnership with Compliance and Security teams. * Own assigned automation and AI ...
Novi, MI · On-site
Adhere to data governance standards around content lifecycle, sensitivity labeling, and permission remediation in partnership with Compliance and Security teams. * Own assigned automation and AI ...
Novi, MI · On-site
$82K - $109K/yr
As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ...
Novi, MI · On-site
$82K - $109K/yr
As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ...
Novi, MI · On-site
$82K - $109K/yr
As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ...
Novi, MI · On-site
$82K - $109K/yr
As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ...
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
What You'll Do Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.
$9.01 - $9.54
3% of jobs
$9.54 - $10.08
3% of jobs
$10.08 - $10.61
11% of jobs
$10.81 is the 25th percentile. Wages below this are outliers.
$10.61 - $11.14
21% of jobs
The median wage is $11.63 / hr.
$11.14 - $11.68
13% of jobs
$11.68 - $12.21
11% of jobs
$12.21 - $12.74
4% of jobs
$13.12 is the 75th percentile. Wages above this are outliers.
$12.74 - $13.28
13% of jobs
$13.28 - $13.81
14% of jobs
$13.81 - $14.34
3% of jobs
$14.34 - $14.88
4% of jobs
$9
$12
$14
An AI labeling job involves annotating data (such as images, text, audio, or video) to help train machine learning models. This can include tasks like categorizing objects, transcribing speech, or identifying patterns. Accurate labeling is essential for AI systems to learn and improve their performance. The job typically requires attention to detail and an understanding of specific labeling guidelines. It is often performed using specialized software tools provided by AI companies.
A typical day as an AI Labeling team member involves reviewing large volumes of data—such as images, audio, or text—and accurately tagging or categorizing each piece according to specific guidelines. You’ll often work both independently and in collaboration with a team lead or quality assurance specialist, who reviews and validates your work. Regular communication with teammates and project managers helps clarify any ambiguities and ensures consistency across the project. While the work can be repetitive, it is essential for creating training data that powers AI models, and team members often rotate between different projects for variety and skill development.
To thrive in an AI Labeling role, you need strong attention to detail, the ability to follow detailed instructions, and basic computer literacy, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, workflow management tools, and sometimes image or audio editing software is commonly expected. Strong communication, patience, and the ability to quickly learn new guidelines are valuable soft skills in this position. These skills are essential to ensure high-quality, accurate datasets that directly impact the performance of artificial intelligence systems.
For Ai Labeling jobs in Michigan, the most frequently searched job titles are:
The top searched job categories for Ai Labeling jobs in Michigan are:
Cities in Michigan with the most Ai Labeling job openings:
Milford, MI • On-site
$109K - $197K/yr
Other
Posted 21 days ago
Secure model pipelines by implementing security controls across the AI/ML lifecycle.
Implement cryptographic mechanisms and access controls to ensure data provenance and verify data integrity.
Conduct AI impact assessments, bias audits, and data provenance reviews to identify and mitigate risks.
Job Family: Software
We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
Our team is seeking a highly skilled AI Security engineer to focus on hands-on technical implementation of security controls across the AI/ML lifecycle.
Key Responsibilities:
Securing model pipelines (CI/CD for ML / MLOps).
Implementing cryptographic mechanisms and access controls to ensure data provenance (e.g., verifying that training data hasn't been tampered with).
Tracking end-to-end data provenance (where training/RAG data originated, who modified it, and how it was sanitized).
Ensuring compliance with corporate guidelines on data and AI usage and AI regulations
Maintaining data lineage documentation, AI model nutrition labels, and data bill of materials (DBOM). Data Bill of Materials (DBOM): Experience establishing Data/Model Cards, AI Nutrition Labels, and Data Bill of Materials to audit training data sources, consent, and licensing.
Risk Assessment & Auditing: Ability to conduct AI impact assessments (AIIAs), bias audits, and data provenance reviews across complex, multi-source ingestion pipelines.
AI Vulnerability Testing: Proficiency in threat modeling AI systems and defending against AI-specific attacks (e.g., OWASP Top 10 for LLMs, prompt injection, training data poisoning, model inversion, indirect prompt injection).
Data Provenance & Versioning Tools: Hands-on experience with data lineage and versioning tools like DVC (Data Version Control), OpenLineage, Apache Atlas, or OpenMetadata.
Cross-Functional Communication: Proven track record bridging technical engineering teams, legal/compliance departments
Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, Information Systems, or a related field (or equivalent hands-on industry experience).
Domain Knowledge: Deep understanding of the end-to-end Machine Learning Lifecycle (from raw data ingestion and feature engineering to fine-tuning, RAG architecture, and production inference).
Certifications (Desirable):
Certified Information Systems Security Professional ( CISSP )
Certified Cloud Security Professional ( CCSP )
Practical AI/ML security credentials (e.g., specialized cloud AI security tracks from AWS/Azure/GCP).
This is a hybrid role based in Livonia, MI or Milford, OH. Applicants must be based in one of these locations or willing to relocate.
Compensation & Benefits:
The salary range for this position is $109,800 to $197,700 and this role is eligible to earn incentive compensation (5-10%). The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/
Why us?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
Siemens Software. Transform the Everyday
#LI-PLM
#LI-HYBRID
#SWSaaS
$109,800 $197,700
Organization: Digital Industries
Job Type: Full-time
Category: Research & Development
