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Vocational Ai Data Labeling Jobs in Michigan (NOW HIRING)

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... AI. · Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation. · Experience with data labeling tools and annotation workflows at scale. · Hands-on knowledge ...

Siemens AG

Data Governance AI Security Engineer

Milford, MI · On-site

$110 - $198/hr

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 ...

New

Wiley

That means putting traditional NLP (NER, sequence labeling, classification), embedding-based ... Contribute to agentic AI application work: tool-using systems that reason over the enriched corpus ...

New

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI

$84K - $100K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Sonida Senior Living

Nursing LPN LVN

Lambertville, MI · On-site

SafelyYou - AI video technology that detects and prevent falls * Advanced EHR Technologies ... Microsoft Power BI - one stop for all data needs * Company support for educational and learning ...

Autodesk

Senior Cloud & AI FinOps Analyst

Novi, MI

$82K - $109K/yr

Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ... data-driven conclusions * Hands-on experience building and maintaining dashboards in Apptio ...

Autodesk, Inc.

Senior Cloud & AI FinOps Analyst

Novi, MI · On-site

$82K - $109K/yr

Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ... data-driven conclusions * Hands-on experience building and maintaining dashboards in Apptio ...

Deloitte

Cyber Data Protection Manager

Detroit, MI

$109K - $148K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

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Vocational Ai Data Labeling information

What is the difference between Vocational Ai Data Labeling vs Data Annotation Specialist?

AspectVocational Ai Data LabelingData Annotation Specialist
CredentialsBasic technical skills, training in labeling toolsSimilar technical skills, often with certification in data annotation
Work EnvironmentPrimarily remote or in-office data labeling teamsRemote or in-office, often within AI or machine learning companies
Industry UsageUsed across AI, autonomous vehicles, healthcare, and retailCommon in AI, machine learning, and data-driven industries

Vocational Ai Data Labeling and Data Annotation Specialist roles share similar skills and work environments, focusing on preparing data for AI models. However, Vocational Ai Data Labeling often emphasizes specific training for labeling tasks, while Data Annotation Specialists may have broader certification options. Both roles are essential in AI development and frequently overlap in industry usage.

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Vocational Ai Data Labeling jobs near you

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 16 days ago

Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
 
Key Responsibilities:
· Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).