ZipRecruiter

Log In

1

Data Annotation For Ai Jobs in Michigan (NOW HIRING)

micro1 AI

M&A Attorney - AI Trainer - Remote

Lansing, MI · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

Prototype quickly, then harden solutions for reliability, scalability, and maintainability. * AI/ML ... Integrate agents with enterprise systems, APIs, and data sources (e.g., collaboration tools ...

General Motors

AI Agent Engineer

Warren, MI · On-site

Prototype quickly, then harden solutions for reliability, scalability, and maintainability. * AI/ML ... Integrate agents with enterprise systems, APIs, and data sources (e.g., collaboration tools ...

Maddisoft

AI Specialist

Rochester, MI · On-site

Visa sponsorship is available for this position. Job Title: AI Specialist Job Location: Rochester ... The ideal candidate will possess a strong background in machine learning, data science, AI ...

Dtna

Senior Data and AI Specialist

Detroit, MI · On-site

$117K - $150K/yr

Inside the Role The Senior Data and AI Specialist serves as a technical leader responsible for advancing Detroit's data, analytics, artificial intelligence, and automation capabilities. This role ...

New

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Description Responsible for providing both strategic and hands-on technical leadership for SME's AI/ML, Generative AI, and modern data platforms, advancing SME's nonprofit mission to accelerate ...

SME

AI/ML and Data Engineer

Southfield, MI · On-site

$104K - $125K/yr

Responsible for providing both strategic and hands-on technical leadership for SME's AI/ML, Generative AI, and modern data platforms, advancing SME's nonprofit mission to accelerate adoption of ...

Infinitice, LLC

AI Speciailist

Pontiac, MI · On-site

... data, analytics, and technology roles. We help organizations scale quickly with the right talent at the right time. Our client is seeking to add an AI Specialist to their team for a short-term ...

Ilitch

Applied AI Engineer

Detroit, MI · On-site

Partner with data governance, security, and infrastructure teams to ensure AI solutions meet enterprise standards for privacy, reliability, and compliance * Stay current on emerging AI engineering ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

Partner with data governance, security, and infrastructure teams to ensure AI solutions meet enterprise standards for privacy, reliability, and compliance * Stay current on emerging AI engineering ...

previous page

Showing results 41-60

All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Michigan

Data Annotation For Ai information

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

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What are popular job titles related to Data Annotation For Ai jobs in Michigan? For Data Annotation For Ai jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Annotation For Ai jobs in Michigan look for? The top searched job categories for Data Annotation For Ai jobs in Michigan are:
What cities in Michigan are hiring for Data Annotation For Ai jobs? Cities in Michigan with the most Data Annotation For Ai job openings:
Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

M&A Attorney - AI Trainer - Remote

micro1 AI

Sterling Heights, MI • Remote

$90 - $130/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: M&A Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the M&A department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including APAs and SPAs.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience working with private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Apply