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Entry Level Ai Trainer Jobs in Michigan (NOW HIRING)

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Architect custom solutions using the appropriate technologies from control databases to AI to User ... Ongoing training, certifications, and professional development support

What We Offer - Sponsorship for FINRA Series 7 and Series 66 licensing - Comprehensive training and onboarding program - Mentorship from experienced financial professionals - AI-powered prospecting ...

What We Offer - Sponsorship for FINRA Series 7 and Series 66 licensing - Comprehensive training and onboarding program - Mentorship from experienced financial professionals - AI-powered prospecting ...

What We Offer - Sponsorship for FINRA Series 7 and Series 66 licensing - Comprehensive training and onboarding program - Mentorship from experienced financial professionals - AI-powered prospecting ...

Electrician

Pontiac, MI · On-site

$43.11/hr

Utilize pre-task planning methods, ensure safety training compliance, and participate in safety ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

This role would be ideal for an entry-level candidate whose eager to transition into controls or ... Excellent company culture - focuses on training and development for long term success with the ...

The Systems Analyst I is an entry-level to early-career role responsible for supporting system ... Experience with setting up, testing, and maintaining AI features. * Interest in working in ...

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Entry Level Ai Trainer information

What does an entry level AI trainer do?

An Entry Level AI Trainer helps improve artificial intelligence systems by providing feedback, labeling data, and correcting outputs generated by AI models. They typically review and annotate data such as text, images, or audio to help the AI learn and make more accurate predictions. This role often involves following detailed guidelines to ensure consistency and quality in training data. Entry-level AI trainers may also work closely with engineers and researchers to test AI models and suggest improvements.

What types of projects and tasks can an entry level AI trainer expect to work on in their first year?

As an Entry Level AI Trainer, you’ll typically be involved in annotating data, reviewing outputs from AI models, and providing feedback to improve language understanding and accuracy. Your daily tasks may include labeling text, images, or audio data, creating training datasets, and participating in quality assurance reviews. You’ll often collaborate with data scientists, machine learning engineers, and fellow trainers to ensure the AI systems are learning correctly. This hands-on experience provides a strong foundation for advancement into more specialized roles, such as data annotation lead or NLP specialist.

What are the key skills and qualifications needed to thrive as an entry level AI trainer, and why are they important?

To thrive as an Entry Level AI Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of AI concepts, often supported by a bachelor's degree in a related field. Familiarity with annotation tools, data labeling platforms, and basic programming languages like Python is commonly required. Effective communication, adaptability, and the ability to follow detailed instructions are critical soft skills for this role. These skills ensure high-quality data preparation and model training, which are essential for building accurate and reliable AI systems.

What is the difference between Entry Level Ai Trainer vs Data Annotator?

AspectEntry Level Ai TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; collaborative with AI teamsRemote or on-site; focused on labeling data
Employer & Industry UsageTech companies, AI startups, research labsTech firms, data companies, AI development teams
Common Search & Comparison IntentUnderstanding entry-level AI rolesData labeling and annotation jobs

Entry Level Ai Trainers focus on training AI models by providing labeled data and guiding AI learning processes, often requiring some understanding of AI concepts. Data Annotators primarily label data to prepare datasets for AI training, emphasizing attention to detail. While both roles support AI development, Entry Level Ai Trainers typically have a broader role involving model training, whereas Data Annotators concentrate on data labeling tasks.

How much do entry level AI trainers make?

Entry-level AI trainers typically earn between $40,000 and $60,000 annually, depending on location, company, and required skills such as data annotation and machine learning tools. Salaries can increase with experience, certifications, and specialized knowledge in AI frameworks.

How to get hired as an entry level AI trainer?

To get hired as an entry level AI trainer, candidates should have a basic understanding of machine learning concepts, data annotation, and relevant tools like Python or annotation platforms. Building a portfolio of projects or certifications in AI and data labeling can improve chances, along with strong communication skills and attention to detail. Entry level roles often require a willingness to learn and adapt to new technologies and processes.

What are the most commonly searched types of Ai Trainer jobs in Michigan?

The most popular types of Ai Trainer jobs in Michigan are:

What job categories do people searching Entry Level Ai Trainer jobs in Michigan look for?

The top searched job categories for Entry Level Ai Trainer jobs in Michigan are:

What cities in Michigan are hiring for Entry Level Ai Trainer jobs?

Cities in Michigan with the most Entry Level Ai Trainer job openings:

Infographic showing various Entry Level Ai Trainer job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Engineer / Data Scientist, AI Senior Associate

Pwc

Detroit, MI • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to grow.
In this role, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's overall business strategies and client solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making and business growth
- Collaborating with teams to build and deploy software and platform systems for AI solutions
- Applying data wrangling techniques to prepare datasets for AI model training and validation
- Utilizing critical thinking to break down complex concepts and generate innovative solutions
- Interpreting data to inform insights and recommendations for client engagements
- Upholding professional and technical standards in alignment with the firm's code of conduct
- Navigating complex situations to anticipate the needs of teams and clients
- Building meaningful client connections to foster long-term relationships and trust
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning
- Utilizing critical thinking to break down complex concepts
- Navigating ambiguity while maintaining focus on client needs
- Building meaningful client connections and managing relationships
- Interpreting data to inform insights and recommendations

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK