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Ai Data Rater Jobs in Minnesota (NOW HIRING)

Competitive hourly rate, W2 Responsibilities: * Set up, run, and monitor pilot line and prototype ... Demand driven by AI data center growth -- one of the strongest growth stories in manufacturing ...

The region serves major enterprises requiring GPU computing infrastructure for AI and analytics ... Benefits Hourly rate commensurate with experience and project scope Overtime eligibility in ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

Experience with Medicare Advantage / Star Ratings analytics * Experience with large-scale datasets and distributed data environments (e.g., Spark) * Experience using AI tools to increase productivity ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

Experience with Medicare Advantage / Star Ratings analytics * Experience with large-scale datasets and distributed data environments (e.g., Spark) * Experience using AI tools to increase productivity ...

AI Business Systems Analyst

Eagan, MN · On-site +1

$65K - $100K/yr

We deliver software solutions, data analytics and services for EMS, hospitals, community ... rates, time saved, user satisfaction, productivity improvements, and business outcomes * Research ...

We expect Essorians to actively leverage AI, data, and automation to drive impact in their daily ... Serve as a liaison across customers, vendors, and internal teams to improve fulfillment rates and ...

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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 Minnesota?

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

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

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

What cities in Minnesota are hiring for Ai Data Rater jobs?

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

Infographic showing various Ai Data Rater job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Cloud Data & AI Architects

Judge Group, Inc.

Minneapolis, MN • On-site

$170K - $175K/yr

Other

Posted 16 days ago


Job description

Location: Minneapolis, MN Salary: $170,000.00 USD Annually - $175,000.00 USD Annually Description:
Cloud Data & Ai Architects
Minneapolis and Dallas
Fulltime
Must Have Technical/Functional Skills
Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
Design data integration and data pipeline patterns
Should be able to evaluate new technologies and run proof of concepts.
Should be able to set data and AI strategy for data organization.
Established data Quality, lineage and metadata standards
Ensured compliance with privacy, security and regulation
Drives adoption of responsible AI frameworks
Created architectural guardrails
Drive consensus on standards (eg data contracts, lineage) across different data organizations
Reviews design and elevate architectural thinking across teams
Creates reusable patterns, templates and reference architectures
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Design and implement AI and Gen AI solution for data value chain
Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Experience with A2A orchestration, agent memory strategies, and tool calling.
Strong grasp of enterprise architecture, data governance, and security protocols.
Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and MLOps pipelines.
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Roles & Responsibilities:
Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure
Design and implement AI and Gen AI solution for data value chain
Design data integration pipelines (batch, real-time, big data) and analytics platforms
Define and implement data governance, quality, meta data, and lineage frameworks and should be able to leverage GenAI capabilities.
Act as a trusted advisor to senior business and IT stakeholders
Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI).
Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Generic Managerial Skills, If any:
15-20 years of experience in data architecture, data engineering, and analytics platforms
Strong consulting experience in large BFSI transformation programs
Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
Design and implement AI and Gen AI solution for data value chain
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Experience with cloud data services in aws,azure,Google Cloud Platform
Strong background in data integration, reporting, and big data ecosystems
Experience working in regulated environments with data governance and compliance requirements
Excellent stakeholder communication and leadership skills
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Contact:
This job and many more are available through The Judge Group. Please apply with us today!