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Ai Data Rater Jobs in Illinois (NOW HIRING)

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key Responsibilities Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on ...

Act as End-to-End Data Integration Product Management Vision and Roadmap leader in support of AI ... rate limiting, and error handling. • Working knowledge of at least one major model provider API ...

Act as End-to-End Data Integration Product Management Vision and Roadmap leader in support of AI ... Comfort designing and consumingREST APIs; understanding of authentication, rate limiting, and error ...

Act as End-to-End Data Integration Product Management Vision and Roadmap leader in support of AI ... rate limiting, and error handling. • Working knowledge of at least one major model provider API ...

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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 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 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 are the most commonly searched types of Ai Data Rater jobs in Illinois? The most popular types of Ai Data Rater jobs in Illinois are:
What job categories do people searching Ai Data Rater jobs in Illinois look for? The top searched job categories for Ai Data Rater jobs in Illinois are:
What cities in Illinois are hiring for Ai Data Rater jobs? Cities in Illinois with the most Ai Data Rater job openings:
Infographic showing various Ai Data Rater job openings in Illinois as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

AI Data Engineer

Instant Serve LLC

Moline, IL • On-site

$103K - $124K/yr

Other

Re-posted 24 days ago


Job description

For more details contact at Ella.s@iserveworld.com

Job Title: AI Data Engineer

Location: Moline,IL

Pay Rate:USD$60.00 $65.00 /hr.with benefits

Key Responsibilities

Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and efficiency.

Langchain Integration: Utilize Langchain to build and optimize AI workflows, automate processes, and enhance AI model capabilities with data-driven features.

Cloud Data Infrastructure: Manage and scale data infrastructure on AWS, using services such as S3, EC2, Lambda, Redshift, and others.

SQL & Database Expertise: Write complex SQL queries for data extraction, transformation, and analysis. Optimize database performance and ensure data integrity.

Collaboration: Work closely with Data Scientists, AI Engineers, and other stakeholders to ensure data is properly structured for machine learning models and other analytics use cases.

Data Quality & Governance: Monitor data quality, create processes for error handling, and ensure compliance with data privacy regulations and best practices.

Performance Optimization: Continuously optimize and fine-tune data processing pipelines and database queries for better performance and scalability.

Documentation: Maintain detailed documentation on the architecture, data processes, and code to ensure smooth collaboration and knowledge transfer.

Requirements

3+ years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines.

Hands-on experience with Langchain for building and optimizing AI workflows and automation.

Strong experience with large-scale data management, including working with distributed systems and processing massive datasets.

Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases.

Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS.

What are the 3-4 non-negotiable requirements of this position?
Experience: 3+ years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines. Hands-on experience with Langchain for building and optimizing AI workflows and automation. Strong experience with large-scale data management, including working with distributed systems and processing massive datasets. Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases. Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS. Technical Skills: Proficient in Python Strong understanding of database design, data modeling, and query optimization. Familiarity with data warehousing concepts and tools. Exerience working with data pipelines and workflow orchestration tools like Apache Airflow, or similar. Knowledge of AI and machine learning concepts, particularly around data preprocessing and feature engineering. Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.

What are the nice-to-have skills?
Preferred Qualifications: Experience with Apache Spark, Kafka, or other big data technologies. Familiarity with containerization (Docker, Kubernetes) for deploying scalable data solutions. Knowledge of AI-specific data workflows, including data preparation for natural language processing, computer vision, or other AI applications.


InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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