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Entry Level Ai Data Rater Jobs in Pontiac, MI (NOW HIRING)

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI

$84K - $100K/yr

Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Stellantis

ICT Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Translate business needs into actionable AI use cases and technical requirements * Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends. * Ensure data ...

Socket.dev

AI Software Engineer

Farmington Hills, MI · On-site

This is an entry-level position, ideal for a recent graduate or early-career engineer eager to grow ... Master's degree in Mathematics, Computer Science, Data Science, or a related field preferred. * 0 ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Translate business needs into actionable AI use cases and technical requirements * Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends. * Ensure data ...

DataAnnotation

Financial Planner - AI Trainer

Warren, MI · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Detroit, MI · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Financial Planner - AI Trainer

Dearborn, MI · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Dearborn, MI · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Financial Planner - AI Trainer

Detroit, MI · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Warren, MI · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Entry Level Ai Data Rater information

See Pontiac, MI salary details

$10

$18

$26

How much do entry level ai data rater jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level ai data rater in Pontiac, MI is $18.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.25 per hour, depending on experience, location, and employer.

What is an entry level AI data rater?

An Entry Level AI Data Rater is a professional who evaluates, labels, and rates data—such as text, images, or search results—to help improve artificial intelligence systems. Their work ensures that AI models can better understand and process human language and behavior. This role typically involves following specific guidelines to assess the accuracy and relevance of data, providing valuable feedback that helps train machine learning algorithms. Entry level positions usually require attention to detail, basic computer skills, and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an entry level AI data rater?

To thrive as an Entry Level AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required; some roles may also ask for knowledge of specific guidelines or quality assurance systems. Excellent communication, critical thinking, and time management are crucial soft skills for interpreting data and meeting productivity targets. These competencies ensure accurate data labeling and evaluation, directly impacting the quality of AI training and system performance.

What are the most common challenges faced by entry level AI data raters, and how can they be addressed?

One of the most common challenges for Entry Level AI Data Raters is maintaining consistency and accuracy when evaluating large volumes of data. Since the work often involves repetitive tasks and adhering to detailed guidelines, it can be easy to overlook small errors or become fatigued. To overcome this, it's helpful to take regular breaks, stay organized, and continually review the provided instructions. Collaborating with team leads or peers to clarify uncertainties can also improve performance and ensure high-quality results.

What is the difference between Entry Level Ai Data Rater vs Data Labeler?

AspectEntry Level Ai Data RaterData Labeler
Required CredentialsHigh school diploma or equivalent; no specialized certification often neededHigh school diploma or equivalent; may require basic training
Work EnvironmentRemote or office-based; working with AI datasetsRemote or on-site; labeling data for machine learning models
Employer & Industry UsageTech companies, AI startups, data annotation firmsTech companies, data annotation services, AI development firms

Both roles involve working with data to improve AI systems, but Entry Level Ai Data Raters often focus on evaluating AI outputs, while Data Labelers primarily annotate data. The roles are similar in credentials and work environment, with slight differences in job focus.

Can I get an entry level AI data rater job with no experience?

Entry level AI data rater positions typically do not require prior experience, as they focus on evaluating and labeling data to improve AI models. Basic computer skills, attention to detail, and the ability to follow guidelines are usually sufficient to qualify for these roles. Some employers may provide training or onboarding to new hires.

What job categories do people searching Entry Level Ai Data Rater jobs in Pontiac, MI look for?

The top searched job categories for Entry Level Ai Data Rater jobs in Pontiac, MI are:

Entry Level Ai Data Rater jobs near you
Infographic showing various Entry Level Ai Data Rater job openings in Pontiac, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $39,358 per year, or $18.9 per hour.

AI Engineer / Data Scientist, AI Senior Associate

Pwc

Detroit, MI • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 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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