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Data Trainer Jobs in Michigan (NOW HIRING)

CBRE

Senior Technical Trainer, Data Centers

Adrian, MI · On-site

Technical Trainer | Data Center About the Role As a CBRE Learning and Development Senior Analyst, you will partner with Data Center and Critical Environment business units to identify technical ...

Sun, Inc.

Data Literacy Specialist

Southfield, MI · On-site

This role helps create learning content, maintain role-based training materials, support workshops, and assist team members in building confidence using data in their daily work. The Data Literacy ...

Magna

Plant Trainer

Newaygo, MI · On-site

Provide data for organization wide development and intervention. * Manage the training and organizational development staff to ensure that effective support is provided to the organization.

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

Training: None; Experience: One (1) year in the position above, as a Data Analyst, Data Engineer, as a Data Engineering Specialist, or in a related occupation; Other Requirements: Experience must ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Facilitate business and IT alignment by defining system requirements, enhancements, and training needs * Provide timely and accurate responses to purchasing-related requests involving data and system ...

R3 Tek

Data Analyst

Detroit, MI

$45/hr

Develop solutions and recommendations for improving data integrity issues, establish data profiling and preventative procedures to improve data quality. * Assist in the coaching and training of ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

After initial training in-person, this specific role could have the flexibility to work from home ... Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Training: None; Experience: One (1) year in the position above, as a Data Analyst, as a Data Analyst Assistant, Data Engineer (ETL Developer), as a Graduate Research Assistant, or in a related ...

Stem Xpert

Data Architect

Detroit, MI · On-site

$63 - $81.25/hr

... Data Warehousing/BI and Information Architecture disciplines. Works as a team lead or internal ... Recommends training programs targeting specific areas of improvement. Participates in the DW/BI ...

Kiongroup

Customer Data Steward

Grand Rapids, MI

$84K - $124K/yr

Coordinate with Key Users to deliver training and support for local teams. * Represent regional/local business requirements in global data initiatives. What we are looking for: * Bachelor's degree in ...

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All JobsData Trainer JobsData Trainer Jobs in Michigan

Data Trainer information

Which 3 jobs will survive AI?

Data trainers play a key role in developing and refining AI systems by annotating data and ensuring model accuracy. Jobs that require complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These roles often involve tasks that are difficult for AI to replicate fully.

What is the difference between Data Trainer vs Data Analyst?

AspectData TrainerData Analyst
Required CredentialsOften requires certifications in training, data tools, or related fieldsTypically requires degrees in statistics, data science, or related fields
Work EnvironmentPrimarily conducts training sessions, workshops, and educational programsAnalyzes data sets, creates reports, and provides insights for decision-making
Employer & Industry UsageUsed in corporate training, educational institutions, and tech companiesCommon in finance, marketing, healthcare, and tech industries

While both roles involve working with data, Data Trainers focus on educating and training others in data tools and concepts, whereas Data Analysts analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Trainers?

Data Trainers are professionals who prepare and curate datasets used to train machine learning models. They are responsible for labeling, annotating, and verifying data to ensure its quality and relevance for artificial intelligence systems. Data Trainers play a crucial role in helping AI systems learn to interpret data accurately by providing clean and well-organized training data. Their work often involves working closely with data scientists and engineers to improve model performance.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles may involve developing complex algorithms, managing AI projects, or overseeing AI strategy within organizations. Compensation at this level reflects the expertise and impact of the role in driving AI innovation and business value.

What are the key skills and qualifications needed to thrive as a Data Trainer, and why are they important?

To thrive as a Data Trainer, you need a strong background in data analysis, machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with data labeling platforms, annotation tools, and experience using programming languages like Python are typically required. Excellent communication, attention to detail, and the ability to convey technical information clearly help a Data Trainer stand out. These skills ensure high-quality, accurate data preparation that directly impacts the performance of machine learning models.

What are some common challenges Data Trainers face when preparing datasets for machine learning projects?

Data Trainers often encounter challenges related to data quality, such as inconsistencies, missing values, and labeling errors. Ensuring that datasets are well-structured and accurately annotated is crucial for producing reliable machine learning models. Collaborating closely with data scientists, subject matter experts, and sometimes external annotators is essential to clarify requirements and maintain high standards. Attention to detail and strong communication skills help Data Trainers resolve ambiguities and deliver clean, usable datasets.

How to become an AI data trainer?

To become an AI data trainer, you typically need a background in data analysis, machine learning, or related fields, along with strong skills in data labeling, annotation, and understanding AI model requirements. Familiarity with tools like Python, data management platforms, and annotation software is beneficial. Gaining experience through online courses, certifications, or entry-level data roles can help build relevant expertise.

Can I get paid to train AI?

Data trainers can be paid for training AI models by providing labeled data, annotations, or feedback to improve machine learning algorithms. This work often involves tasks like data labeling, quality assurance, and using tools such as annotation platforms, and may be done as freelance, contract, or full-time roles. Compensation varies based on experience, project scope, and the platform or employer.
What are popular job titles related to Data Trainer jobs in Michigan? For Data Trainer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Trainer jobs in Michigan look for? The top searched job categories for Data Trainer jobs in Michigan are:
Data Trainer jobs near you
Infographic showing various Data Trainer job openings in Michigan as of June 2026, with employment types broken down into 7% As Needed, 20% Full Time, 60% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Part-Time Trainer - Data Analytics

Part-Time Trainer - Data Analytics

Washtenaw Community College

Ann Arbor, MI • On-site

Full-time

Posted 6 days ago

Job description

Posting Details
Posting Details (Default Section)
Posting Number:
0603880
Position Title:
Part-Time Trainer - Data Analytics
Position is:
Part Time
Position Type:
Staff Position (Full Time/Part Time)
Department/Ofc.:
Workforce, Economic, & Community Development
Position Description:
Washtenaw Community College is seeking a qualified Part Time Trainer - Data Analytics to deliver short-term, noncredit data analytics training in a face-to-face instructional format. This role will serve as a subject matter expert and trainer for the data analytics portion of a workforce training pathway that may be paired with a separate bookkeeping training component.
The trainer will deliver existing WCC-developed Data Analytics Technician Training materials and provide practical instruction in topics such as data literacy, spreadsheet-based data analysis, data organization, data cleaning, formulas and functions, pivot tables, charts, dashboards, reporting, data visualization, and using data to support business decision-making. The trainer will help students build applied data skills that can be used in business, office, accounting support, administrative, workforce, and related entry-level roles.
Position Summary:
The Part Time Trainer - Data Analytics is responsible for delivering short-term, noncredit data analytics instruction using existing WCC-developed course materials. This role will focus on the face-to-face delivery of data analytics training and will support student learning through classroom instruction, demonstrations, hands-on practice activities, applied exercises, and skills-based review.
The trainer will work with Corporate Training & Lifelong Learning to deliver course content, support students during class sessions, communicate instructional needs, provide feedback on course materials, and help ensure that students understand how data analytics skills apply to real-world workplace settings. The role is focused on the data analytics training component and does not include responsibility for developing or delivering the bookkeeping portion of the combined training pathway.
Essential Duties include:
  • Serve as the subject matter expert and trainer for Data Analytics course content.
  • Deliver short-term, noncredit workforce training in a face-to-face instructional format using existing WCC-developed data analytics training materials.
  • Provide instruction on foundational data analytics concepts, including data literacy, data organization, data cleaning, spreadsheet analysis, formulas and functions, pivot tables, charts, dashboards, reporting, and data visualization.
  • Teach students how to use data to identify patterns, summarize information, communicate findings, and support business decision-making.
  • Facilitate hands-on learning activities, demonstrations, guided practice, applied exercises, review sessions, and skills-based assignments.
  • Use business scenarios, sample datasets, spreadsheet exercises, reporting examples, and applied projects to support student learning.
  • Help students understand how data analytics skills apply to workplace roles in business operations, office administration, accounting/bookkeeping support, data reporting, workforce analytics, and related fields.
  • Support students with varying levels of prior experience in data analytics, spreadsheets, business technology, and computer-based learning.
  • Communicate course expectations, learning outcomes, technology requirements, assignment expectations, and completion requirements clearly to students.
  • Provide feedback to students to support skill development and successful course completion.
  • Maintain a safe, inclusive, and professional learning environment for adult learners, workforce training participants, career changers, and entry-level students.
  • Communicate classroom, technology, software, course material, and student support needs to Corporate Training & Lifelong Learning staff.
  • Review existing course materials and provide feedback or recommendations for improvement based on student needs, course delivery experience, and workforce expectations.
  • Coordinate with Corporate Training & Lifelong Learning staff regarding course delivery, scheduling, materials, software access, classroom needs, and student support.
  • Follow WCC policies, procedures, and expectations for part-time trainers.
  • Other duties as assigned

Related Duties:
  • Recommend updates to instructional examples, datasets, exercises, demonstrations, and course resources as needed.
  • Provide input on course delivery format, instructional flow, classroom technology needs, and future course improvements.
  • Support alignment between data analytics instruction and related workforce training pathways, including a separate bookkeeping training component as appropriate.
  • Communicate any issues with course materials, software access, student readiness, or classroom technology before or during course delivery.
  • May assist with course improvement feedback after course offerings.
  • May support future course enhancements based on student needs, workforce demand, employer feedback, and industry trends.
  • Utilize technology, including AI-enabled tools and software where appropriate, to support the effective performance of assigned duties, enhance productivity, improve communication and information management, support decision-making, and other responsibilities, while ensuring compliance with confidentiality requirements, institutional policies, procedures, and applicable regulations.

Hours/Schedule:
  • This is a part-time training assignment scheduled based on course offerings, course development needs, and department needs.

Work Environment:
  • Instruction will primarily take place in a standard classroom or computer lab with an instructor station, projector or classroom display, internet access, and seating for students. The course may require access to computers, spreadsheet software, data files, sample datasets, digital instructional materials, and other classroom technology needed for hands-on data analytics instruction.

Physical Demands:
  • The position generally requires the ability to teach in a classroom or computer lab setting, operate instructional technology, stand or walk during instruction, communicate clearly with students, and support students while they complete computer-based learning activities.
  • The trainer may occasionally need to transport, set up, or handle printed materials, classroom resources, or lightweight instructional equipment

Minimum Qualifications:
Minimum Required Knowledge, Skills and Abilities:
  • Demonstrated knowledge of data analytics concepts, spreadsheet-based analysis, data organization, reporting, and business decision-making.
  • Experience using Microsoft Excel, Google Sheets, or similar spreadsheet tools for data organization, formulas, functions, charts, pivot tables, dashboards, and reporting.
  • Ability to deliver existing WCC-developed data analytics training materials in a clear, practical, and engaging face-to-face instructional format.
  • Ability to teach foundational data analytics concepts to students with varying levels of prior experience.
  • Ability to facilitate hands-on learning activities, demonstrations, applied exercises, and skills-based practice.
  • Ability to connect data analytics skills to real-world workplace applications in business operations, office administration, accounting/bookkeeping support, reporting, workforce analytics, and related roles.
  • Strong communication, organization, and training facilitation skills.
  • Ability to maintain a safe, inclusive, and professional learning environment.
  • Basic computer skills and ability to use classroom technology, digital instructional materials, spreadsheet tools, and internet-based resources.
  • Ability to work collaboratively with WCC staff regarding course delivery, scheduling, materials, software access, and student support.
  • Ability to use workplace technology relevant to the position, including the capacity to learn and appropriately leverage emerging AI-supported tools. Ability to assess the accuracy and reliability of AI-generated content, maintain confidentiality, and apply sound judgment and ethical practices in the use of technology.

Preferred Qualifications:
Additional Preferred Qualifications:
  • Prior teaching, training, coaching, or instructional experience.
  • Experience teaching or training adult learners, noncredit students, workforce training participants, career changers, or entry-level learners.
  • Experience using Power BI, Tableau, or other data visualization/business intelligence tools.
  • Experience developing or adapting workforce training curriculum, instructional materials, assessments, datasets, or learning activities.
  • Experience working in data analytics, business operations, accounting support, office administration, finance, workforce reporting, or a related field.
  • Experience helping learners apply data skills to business, financial, administrative, or workforce-related scenarios.
  • Knowledge of current data analytics tools, business technology trends, and employer expectations for entry-level data-related roles.

Posting Date:
05/28/2026
Closing Date:
07/05/2026
Open Until Filled
No
Special Instructions to Applicants:
Our college strives to make a positive difference in people's lives through accessible and excellent educational programs and services.
Washtenaw Community College seeks to recruit and retain a productive workforce as a reflection of our commitment to serve our community and to build on the success of our students, faculty & staff. Washtenaw Community College is committed to creating a welcoming environment.
Washtenaw Community College is an Equal Opportunity Employer.
Salary/Hourly Rate:
$60
Salary Comments:

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