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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 ...

Deepgram

Research Staff, Data Science

Ann Arbor, MI · On-site

Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech ... label high value data and provide critical feedback on model outputs • Build advanced ...

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 · Remote

$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 ...

Align Communications

Cabling Associate

Detroit, MI · On-site

$20.50 - $25.75/hr

... AI and hyperscale data centers across the U.S. This hybrid role blends field leadership with hands ... Perform on-site QA checks for fiber/copper terminations, labeling, routing, and test results while ...

Gatik AI

Inventory Specialist

Rochester Hills, MI

$16.25 - $20.75/hr

Label materials with internal part numbers and enter them into NetSuite. * Notify relevant teams of ... Proficient in Microsoft Excel and Google Sheets for data tracking and reporting. * Experience with ...

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All JobsAi Data Labeling JobsAi Data Labeling Jobs in Michigan

Ai Data Labeling information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior data scientist, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles usually involve leading projects, developing algorithms, and strategic decision-making in AI development, with compensation reflecting the seniority and impact of the position.

What is an AI Data Labeling job?

An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.

What are the key skills and qualifications needed to thrive in the Ai Data Labeling position, and why are they important?

To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.

How much do AI labelers make?

AI 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 part-time, often requiring familiarity with labeling tools and attention to detail.

What does an AI data labeler do?

An AI data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. This role requires attention to detail and familiarity with labeling tools, often working remotely with flexible schedules. Accurate labeling is essential for improving AI system performance.

Is data labelling a good career?

Data labeling is a viable entry-level job in the AI industry, involving annotating data to train machine learning models. It requires attention to detail and familiarity with labeling tools, and can offer flexible schedules and remote work options. However, it is often considered a stepping stone to more advanced roles in data science or AI development.

What are typical daily tasks for an AI Data Labeling professional?

As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.

What are the most commonly searched types of Ai Data Labeling jobs in Michigan? The most popular types of Ai Data Labeling jobs in Michigan are:
What are popular job titles related to Ai Data Labeling jobs in Michigan? For Ai Data Labeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling jobs in Michigan look for? The top searched job categories for Ai Data Labeling jobs in Michigan are:
What cities in Michigan are hiring for Ai Data Labeling jobs? Cities in Michigan with the most Ai Data Labeling job openings:
Ai Data Labeling jobs near you
Infographic showing various Ai Data Labeling job openings in Michigan as of July 2026, with employment types broken down into 75% Full Time, 8% Part Time, and 17% Contract. Highlights an 100% In-person job distribution.

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 5 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).