ZipRecruiter

Log In

2

Part Time Ai Data Labeling Jobs in Michigan (NOW HIRING)

Quest Diagnostics

Phlebotomist I Part-Time

Royal Oak, MI · On-site

$16 - $20/hr

Processing specimens including: labeling, centrifuging, aliquoting, freezing and preparing for ... Keyboard/data entry experience. The position requires the ability to effectively communicate in ...

Magna

Intern - Validation Engineering

Auburn Hills, MI · On-site

$15.75 - $20.50/hr

Support parts storage practices, labeling and Fixtures organization. Qualifications: * Some related ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

Curana Health

Physician - part time

Grand Rapids, MI · On-site

Full-Time or Part-Time Schedules Available Essential Duties & Responsibilities * Provide ... Cutting-edge care model that empowers you to transform senior healthcare. * Data-driven tools & AI ...

next page

Showing results 1-20

All JobsPart Time Ai Data Labeling JobsPart Time Ai Data Labeling Jobs in Michigan

Part Time Ai Data Labeling information

What are the key skills and qualifications needed to thrive as a Part Time AI Data Labeling Specialist, and why are they important?

To thrive as a Part Time AI Data Labeling Specialist, you need attention to detail, basic computer literacy, and often a high school diploma or equivalent. Familiarity with labeling platforms, annotation tools, and sometimes experience with data management systems is typically required. Reliability, time management, and the ability to follow precise instructions are crucial soft skills for this role. These skills ensure high-quality, accurate datasets that support effective machine learning model development.

What is part-time AI data labeling?

Part-time AI data labeling involves annotating or categorizing data such as images, text, audio, or video to train and improve artificial intelligence and machine learning models. As a part-time data labeler, you work flexible hours to tag or classify data according to specific guidelines provided by a company or research team. This role is essential for creating high-quality datasets that help AI systems learn to recognize patterns, objects, or language. The work can often be done remotely and may require attention to detail and basic computer skills. Many companies hire part-time data labelers to handle large volumes of data efficiently.

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

AspectPart Time Ai Data LabelingPart Time Data Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible schedule
Industry UsageAI, machine learning, tech companiesData management, research, tech sectors
Job FocusLabeling data for AI trainingAnnotating data for various applications

Part Time Ai Data Labeling and Part Time Data Annotation Specialist roles share similar credentials and work environments, often involving remote work and flexible hours. The main difference lies in the specific focus: AI Data Labeling emphasizes preparing data for machine learning models, while Data Annotation Specialists may work on broader data types for various purposes. Both roles are essential in data-driven industries and often overlap in skills and industry usage.

What are some common challenges faced by part-time AI data labelers, and how can they be effectively managed?

Part-time AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy, and adapting to evolving labeling guidelines. To manage these, it's important to take regular breaks to prevent fatigue, stay updated on any changes to annotation protocols, and communicate with supervisors or team members when clarifications are needed. Leveraging available training resources and quality assurance feedback can also help improve performance and make the work more engaging. Collaboration with other labelers through team chats or forums can provide support and insights for handling tricky cases.
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 Part Time Ai Data Labeling jobs in Michigan? For Part Time Ai Data Labeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Data Labeling jobs in Michigan look for? The top searched job categories for Part Time Ai Data Labeling jobs in Michigan are:
Part Time Ai Data Labeling jobs near you
AI Content Writer (MS Word & PDF Expertise) - Remote

AI Content Writer (MS Word & PDF Expertise) - Remote

micro1 AI

Detroit, MI • Remote

$20 - $55/hr

Part-time

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

Job description

Job Title: Word and PDF Experts

Job Type: Contractor (Part-Time or Full- Time)

Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Conduct comprehensive document review, editing, and formatting in Word and PDF, ensuring adherence to industry and client-specific standards.
  2. Manage tracked changes, comments, and version control effectively across large and complex files.
  3. Create, edit, and fill dynamic forms and templates tailored to diverse professional needs.
  4. Execute precise data extraction and consolidation from Word and PDF documents.
  5. Collaborate with cross-functional teams to deliver accurate, timely, and confidential document solutions.
  6. Implement and enforce document workflows for legal, regulatory, and compliance-driven projects.
  7. Train and support stakeholders on advanced Word and PDF functionalities and best practices.


Required Skills and Qualifications:

  1. Minimum 3+ years’ experience working intensively with Word and PDF tools in professional settings.
  2. Advanced proficiency in document formatting, tracked changes, reviews, and markup.
  3. Exceptional written and verbal communication skills, with acute attention to detail.
  4. Master’s, PhD, or JD degree in a related field (e.g., law, healthcare, academia, public policy, finance).
  5. Track record of supporting Fortune 500 clients or similarly complex/regulated environments.
  6. Ability to manage confidential information and sensitive materials discreetly.
  7. Self-motivated, adaptable, and effective working independently in a remote, deadline-driven environment.


Preferred Qualifications:

  1. Experience working in specialist roles such as legal professionals, healthcare administrators, academic researchers, government consultants, or finance/real estate operations.
  2. Proficiency in advanced PDF features (form fields, digital signatures, secure document handling).
  3. Portfolio demonstrating high-impact Word and PDF project delivery.

Apply