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Ai Training Entry Level Jobs in Michigan (NOW HIRING)

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Entry Level Controls Engineer

Detroit, MI · On-site

$80K - $82K/yr

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

Principal

Entry-Level Financial Advisor

Kalamazoo, MI · On-site

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 ...

Principal

Entry-Level Financial Advisor

Kalamazoo, MI · On-site

$76K/yr

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 ...

Principal

Entry-Level Financial Advisor

Grand Rapids, MI · On-site

$100K/yr

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 ...

Jones Lang LaSalle IP, Inc.

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 ...

Actalent

Field Service Engineer

Grand Rapids, MI · On-site

$63K - $75K/yr

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 ...

LSPedia Inc

System Analyst I

Farmington, MI · On-site

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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Ai Training Entry Level information

What is an AI Training Entry Level?

An AI Training Entry Level job typically involves helping to prepare and label data used to train artificial intelligence systems. This may include tasks like categorizing images, transcribing audio, or providing feedback on machine-generated outputs. Workers in these roles play a crucial part in improving the accuracy and reliability of AI models by ensuring the data used to teach these systems is high-quality and well-organized. No advanced technical background is usually required, making it accessible for those new to the AI field. These roles can be a good starting point for building a career in artificial intelligence and machine learning.

What are the key skills and qualifications needed to thrive as an AI Training Entry Level professional?

To thrive as an AI Training Entry Level professional, you need strong analytical thinking, attention to detail, and basic knowledge of data annotation or computer science concepts, often supported by a high school diploma or some college coursework. Familiarity with labeling tools, content management systems, and platforms such as Labelbox or Amazon SageMaker Ground Truth is typically required. Reliability, effective communication, and adaptability help you stand out in this position. These skills are crucial for producing high-quality, accurate training data that directly impacts the performance of AI models.

What are some common challenges faced by entry-level AI training specialists, and how can they overcome them?

Entry-level AI training specialists often encounter challenges such as understanding various data labeling guidelines, maintaining consistency in annotations, and adapting to fast-evolving project requirements. To overcome these hurdles, it's helpful to ask clarifying questions, actively participate in team discussions, and make use of available documentation and training materials. Building strong communication with team leads and quality assurance reviewers also ensures feedback is implemented quickly, leading to both personal growth and improved project outcomes.

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

AspectAi Training Entry LevelData Annotator
Required CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma; attention to detail
Work EnvironmentOffice or remote; collaborative with AI teamsRemote or on-site; focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Common Search IntentEntry-level AI roles, AI training jobsData labeling, annotation jobs

In summary, Ai Training Entry Level roles focus on assisting in training AI models by providing labeled data and understanding basic AI concepts, while Data Annotators primarily focus on labeling data to prepare datasets for AI training. Both roles are essential in AI development but differ slightly in scope and responsibilities.

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

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

What are popular job titles related to Ai Training Entry Level jobs in Michigan?

For Ai Training Entry Level jobs in Michigan, the most frequently searched job titles are:

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

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

Ai Training Entry Level jobs near you
Infographic showing various Ai Training Entry Level job openings in Michigan as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% In-person 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 yesterday

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

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Benefits

Hours and flexibility

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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

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