ZipRecruiter

Log In

1

Prompt Data Annotation Ai Jobs in Michigan (NOW HIRING)

Pwc

AI Engineer

Grand Rapids, MI

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ...

Pwc

AI Engineer

Detroit, MI

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ...

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

... prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model ... AI services using scalable cloud-native architecture (APIs, containers, CI/CD). • Optimize ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Prompt pipelines * Agent‑based architectures * Retrieval‑Augmented Generation (RAG) systems ... Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and ...

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well ... Design and maintain evaluation suites and benchmarks to track model and prompt performance ...

Sunset Grown

AI Engineer

Livonia, MI · On-site

Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well ... Design and maintain evaluation suites and benchmarks to track model and prompt performance ...

Apex Systems

Lead AI/ML Engineer

Dearborn, MI · On-site

$94K - $124K/yr

Candidate should understand model lifecycle management, prompt engineering, and responsible AI practices. Skills Preferred: * Telematics - 1-3 years of exposure to telematics data systems, including ...

previous page

Showing results 41-60

All JobsPrompt Data Annotation Ai JobsPrompt Data Annotation Ai Jobs in Michigan

Prompt Data Annotation Ai information

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

What are popular job titles related to Prompt Data Annotation Ai jobs in Michigan?

For Prompt Data Annotation Ai jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Prompt Data Annotation Ai jobs in Michigan look for?

The top searched job categories for Prompt Data Annotation Ai jobs in Michigan are:

What cities in Michigan are hiring for Prompt Data Annotation Ai jobs?

Cities in Michigan with the most Prompt Data Annotation Ai job openings:

Prompt Data Annotation Ai jobs near you
Infographic showing various Prompt Data Annotation Ai job openings in Michigan as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 33% Hybrid, and 67% Remote job distribution.

Senior Robotic AI-Perception Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$98K - $134K/yr

Contractor

Re-posted yesterday

Job description

Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
 
Key Responsibilities:
· Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
· Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
· Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
· Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
· Develop offline tools to test and validate perception models in both simulation and real-world environments.
· Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
· Generate intellectual property, document results, and publish papers.
 
Required Qualifications:
· Passion for robotics and a strong desire to accelerate the application of robotics with AI.
· Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
· 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
· Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
· Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
· Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.
 
Preferred Qualifications:
· Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
· Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
· Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
· Understanding of CI/CD pipelines and modern software development practices.