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Prompt Data Annotation Ai Jobs in Michigan (NOW HIRING)

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site +1

$160K - $190K/yr

Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...

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 ...

Deloitte

AI Data Engineer - Senior Consultant

Midland, MI · Hybrid

$89K - $123K/yr

Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content ... You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ...

Deloitte

AI Data Engineer - Senior Consultant

Detroit, MI · Hybrid

$103K - $142K/yr

Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content ... You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ...

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Establish and mature MLOps/LLMOps practices, including CI/CD, model and prompt versioning ... Provide executive-level advisory services on AI adoption and data modernization, tailoring ...

SME

AI/ML and Data Engineer

Southfield, MI · On-site

$104K - $125K/yr

Establish and mature MLOps/LLMOps practices, including CI/CD, model and prompt versioning ... Provide executive-level advisory services on AI adoption and data modernization, tailoring ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

Experience with prompt engineering and function calling in LLMs * Experience integrating APIs and ... data * Familiarity with Git and development in a collaborative environment Nice to Have Technical ...

Lthc

Principal AI Security Engineer

Dewitt, MI · Hybrid

The Principal AI Security Engineer leads and partners throughout the organization to build ... system prompt leakage, vector and embedding weaknesses, data poisoning, model theft, model ...

Lthc

Principal AI Security Engineer

Dewitt, MI · Hybrid

The Principal AI Security Engineer leads and partners throughout the organization to build ... system prompt leakage, vector and embedding weaknesses, data poisoning, model theft, model ...

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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.

How to become an AI data annotation?

To become an AI data annotation specialist, you should develop strong attention to detail, basic computer skills, and familiarity with annotation tools such as Labelbox or CVAT. Many roles require no formal degree, but understanding of data labeling processes and the ability to follow guidelines are essential. Training is often provided by employers, and the job can involve flexible or part-time schedules.

Is data annotation real or fake?

Data annotation is a real and essential process in AI development where human annotators label data such as images, text, or audio to train machine learning models. It involves accurately tagging data to improve model performance and is performed using specialized tools and guidelines.

What do AI data annotators do?

AI data annotators label and categorize data such as images, videos, text, or audio to help train machine learning models. They use specialized tools to add tags, bounding boxes, or transcriptions, ensuring data quality and consistency for AI development.

How much does data annotation AI pay?

Data annotation AI jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or advanced tools usage.
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Prompt Data Annotation Ai jobs near you

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Posted 25 days ago

Job description

Position: Robotics Data Collection Engineer

Location: Warren, Michigan (Onsite)

Duration: 12+Months with possible extensions

Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)

Position Summary:

Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this hands-on role, you will work directly with advanced robotic systems to collect, organize, and validate training data that enables AI-powered robotic manipulation in automotive manufacturing. You will contribute to building the datasets that power the next generation of intelligent manufacturing automation at Warren Technical Center.

Key Responsibilities:

  • Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments.
  • Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware.
  • Organize, label, and validate data according to established annotation guidelines and quality standards.
  • Perform manual annotation and verification when necessary to generate high-quality ground truth labels.
  • Execute data collection campaigns following documented protocols and experimental designs.
  • Troubleshoot data collection issues and document problems for engineering teams.
  • Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements.

Required Qualifications:

  • College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred).
  • Ability to work on-site at Warren Technical Center, 5 days per week.
  • Attention to detail and ability to follow technical procedures and documentation.
  • Reliability, accountability, and ability to work independently and as part of a team.
  • Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms.
  • Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines.
  • Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data.

Preferred Qualifications:

  • Experience with robotics, manufacturing, or data collection.
  • Familiarity with Python, Linux, or data tools (beneficial but not required).
  • Experience operating or troubleshooting technical equipment.
  • Basic understanding of machine learning, AI, or data annotation concepts.
  • Experience in automotive or manufacturing environments.

What is Offered:

•              Hands-on experience with cutting-edge robotics and AI technology.

•              Opportunity to contribute to transformative manufacturing automation.

•              Collaborative team environment with world-class engineers and researchers.