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Ai Data Rater Jobs in Michigan (NOW HIRING)

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 ...

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate: Market Key Responsibilities: * Design and ... Integrate APIs and handle structured/unstructured data for downstream processing or inference

Kyndryl

$156K - $296K/yr

Data & AI Governance Framework: Establish and operationalize a comprehensive governance framework ... such as data quality scores, privacy incidents, and model validation rates-to demonstrate ...

Spruce Infotech

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract duration: 6 Target Start Date: 07 Sep ... SQL, Gen AI, Control-M Detailed Key Responsibilities Design, build, and maintain data pipelines ...

HARMAN International

Data Platform Lead

Novi, MI · On-site

Regular - Permanent Pay Rate Type: Salary Career Level: M3 Job ID: R-53799-2026 Description ... and AI at scale. The Data Platform Lead is accountable for the technical architecture and ...

Apex Systems

Lead AI/ML Engineer

Dearborn, MI · On-site

$94K - $124K/yr

Support the client's AI and ML engineering capability, including model fine-tuning oversight ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

OneMagnify

Learning & Development Manager

Detroit, MI · On-site

$70 - $95/hr

... is an AI native, platform-enabled B2B digital agency operating at the intersection of data ... Partner with HR and leadership to refine performance frameworks and rating approaches * Support ...

OneMagnify

Learning & Development Manager

Detroit, MI · On-site

... is an AI native, platform-enabled B2B digital agency operating at the intersection of data ... Partner with HR and leadership to refine performance frameworks and rating approaches * Support ...

KLA

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Actual pay depends on several factors, including state minimum pay wage rates, location, job ...

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KLA Corporation

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Actual pay depends on several factors, including state minimum pay wage rates, location, job ...

New

Kla

AI Governance Lead

Ann Arbor, MI · On-site

$133K - $226K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Actual pay depends on several factors, including state minimum pay wage rates, location, job ...

New

Orbotech

AI Governance Lead

Ann Arbor, MI

$133K - $226K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Actual pay depends on several factors, including state minimum pay wage rates, location, job ...

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Ai Data Rater information

What is an AI data rater?

An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.

What does an AI data rater do?

As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.

What skills and qualifications are needed to thrive as an AI data rater?

To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.

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

The most popular types of Ai Data Rater jobs in Michigan are:

What are popular job titles related to Ai Data Rater jobs in Michigan?

For Ai Data Rater jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Data Rater jobs in Michigan look for?

The top searched job categories for Ai Data Rater jobs in Michigan are:

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Cities in Michigan with the most Ai Data Rater job openings:

Ai Data Rater jobs near you
Infographic showing various Ai Data Rater job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

ICT Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 7 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

We are seeking a strategic and hands-on Data Engineer to support Purchasing and Finance Analytics and Programs within our North America Data & AI team. Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business users). It is a discipline that involves collaboration across business and IT units.
In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position may include:
The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise.
Key Responsibilities:
  • Assembling large, complex sets of data that meet non-functional and functional business requirements
  • Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
  • Develop robust ETL (Extract, Transform, Load) process to integrate data from various sources.
  • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, Azure, DB2 and SQL technologies
  • Building scalable tables to provide actionable insight into key business performance metrics including operational efficiency and customer acquisition
  • Working with stakeholders including the Data Product teams to support their data infrastructure needs while assisting with data-related technical issues
  • Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
  • Optimize data storage and retrieval mechanisms for performance and scalability.
  • Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines.
  • Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.
  • Apply statistical analysis and machine learning techniques to solve business and operational problems.
  • Partner with business stakeholders to understand requirements and translate them into analytical solutions.
  • 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 quality, lineage, documentation, and compliance with governance requirements
  • Create dashboards and analytical outputs that drive insight adoption and operational impact
  • Collaborate with business data engineers, and platform teams on scalability, performance, and best practices

Basic Qualifications
  • Bachelor's or in Data Science, Statistics, Engineering, Computer Science, or related field.
  • Minimum 3 years' experience as Data Scientist, Advanced Analyst, or similar role
  • Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop).
  • Solid understanding of statistics, exploratory data analysis, and applied machine learning.
  • Experience working with large, complex datasets in enterprise environments
  • Ability to communicate analytical findings clearly to technical and non-technical audiences.
  • Proven experience delivering end-to-end analytics or data science solutions into production.
  • Experience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, GCP).
  • Strong communication and stakeholder engagement skills.

Preferred Qualifications
  • Familiarity with data modeling, semantic layers, and enterprise data platforms.
  • Industry experience in automotive and manufacturing
  • Exposure to MLOps concepts, model deployment, or monitoring
  • Hands-on experience with Palantir Foundry, Snowflake Intelligence
  • Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field.
  • This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.

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