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Ai Data Rater information

What is an AI Data Rater job?

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 are the key skills and qualifications needed to thrive in the Ai Data Rater position, and why are they important?

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 some typical daily responsibilities for an AI Data Rater?

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 are the most commonly searched types of Ai Data Rater jobs in Kentucky? The most popular types of Ai Data Rater jobs in Kentucky are:
What are popular job titles related to Ai Data Rater jobs in Kentucky? For Ai Data Rater jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Ai Data Rater jobs in Kentucky look for? The top searched job categories for Ai Data Rater jobs in Kentucky are:
Ai Data Rater jobs near you
Infographic showing various Ai Data Rater job openings in Kentucky as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Solutions Engineer

AI Solutions Engineer

Heaven Hill Brands

Louisville, KY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Heaven Hill Brands rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

15th of 395 rated food and drinks producers

Job description

This is an office based position in Louisville, KY.

The AI Solutions Engineer will own the complete lifecycle for the AI agents and automation development for Heaven Hill, from infrastructure setup and backend integrations to user-facing interactions. This position will collaborate closely with internal stakeholders, end-users, and technology teams to deliver solutions that quickly move from concept to production, enhancing employee effectiveness and accelerating Heaven Hill’s digital growth.

This position will provide internal support to Heaven Hill as needed on our key data sources, pipelines, semantic models, and processes via collaboration and knowledge sharing. This also includes partnership with the IT product owners and the business the complete projects following the Ways of Working protocol.

Position Responsibilities include, but not limited to:

  • Agent Development: Build and deploy AI agents using LangChain, Semantic Kernel, Anthropic, or similar frameworks to securely query enterprise data through ChatGPT Enterprise.AI
  • Data Integration & Management: Create and maintain data connectors exposing SQL, SharePoint, and other enterprise systems via MCP or custom solutions, enforcing strict security standards and RBAC.
  • MLOps & DevSecOps: Develop and automate CI/CD pipelines for prompts, vector stores, and schema management; monitor AI solution performance (latency, token usage, accuracy).
  • User Engagement & Support: Collaborate closely with business stakeholders for interactive development, capturing user feedback and ensuring high adoption rates through clear documentation. Work with product owners to lead internal projects (Tier 3 support)
    • Utilizing Fabric, and SSRS/SSIS
    • Data Projects – Enterprise Data Warehouse, Power BI implementation, updating legacy data pipelines
  • Research & Evaluation: Evaluate emerging AI technologies and tools and provide strategic recommendations on technology adoption.
  • Security & Governance: Align AI solutions with internal security policies, conduct threat modeling, and prepare for compliance audits.
  • Improving our Team, Tools and Processes: Help maintain systems by updating code as needed, documenting/fixing processes, mentoring and collaborating with other engineers, suggesting process and technology improvements or changes
  • Partner with manager to plan, write, and implement policies and procedures that demonstrate best practices.
  • Provide guidance and support during weekly data engineering team meetings and project discussions, especially around following best practices and team policy.

Role Qualifications:

  • Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, or related field
  • Minimum 4 years of experience developing backend services/data pipelines, preferably in Python
  • Practical experience with LLM orchestration frameworks and vector databases
  • Proven experience deploying production applications on Azure
  • Deep understanding of OAuth, JWT, RBAC, and secure data access principles
  • Proficient SQL skills, including query optimization

Valued but not Required Experience:

  • Experience with Microsoft Copilot Studio plugins or Fabric Lakehouse

  • Familiarity with OpenAI Platform, ChatGPT, Gemini or Llama

  • Certification in Azure AI Engineer (AI-102) or Azure Data Scientist (DP-100)

Physical Requirements:

While performing duties of job, employee is occasionally required to:

  • Stand; walk; use hands and fingers to handle, or feel objects, and use of computer; reach with hands and arms.
  • Lift and/or move up to 20 pounds.

Benefits

  • Paid Vacation
  • 11 Paid Holidays
  • Health, Dental & Vision eligibility from day one
  • FSA/HSA
  • 401K match
  • EAP
  • Maternity/Paternity Leave

Heaven Hill and its affiliates are committed to fostering a diverse workforce as an Equal Employment Opportunity company. We invite applications from candidates of all backgrounds, without regard to race, religion, color, sex, sexual orientation, natural origin, gender identity or expression, age, disability, veteran status, or any other legally protected characteristic.

What Heaven Hill Brands employees say

Pay

Hours and flexibility

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