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Overnight Ai Data Rater Jobs in Illinois (NOW HIRING)

AI Data Engineer

Moline, IL · On-site

$103.40K - $124.20K/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 ...

As a Senior Associate in Data + AI Advisory team, the AI and Data Strategy Consultant will be ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

As a Senior Associate in Data + AI Advisory team, the AI and Data Strategy Consultant will be ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

Data Analyst - I

Chicago, IL · Hybrid

$30 - $35/hr

Hybrid (3 days onsite - Tuesday to Thursday) Pay Rate - $30 - $35/Hr on W2 Duration - 06 Months ... Leverage AI tools for data profiling, anomaly detection, and reporting * Design and refine AI ...

Search Quality Rater

Chicago, IL · Remote

$18.25 - $23.50/hr

Our main goal for this project is to develop and augment AI data. To put it more plainly, you will provide subjective and objective ratings based on project rules and conventions. Job Title: Search ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are ... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are ... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ...

Data Engineer

Mount Sterling, IL · Remote

$104.30K - $125.30K/yr

DB2 * watsonX.ai * Supply Chain Date Candidate Name C-Phone C-Email Data Engineer Years Snowflake ... Location Rate W2 Fee Your email 10/9/25 You're analytical, a big picture thinker, and detail ...

Agentic AI Developer (Contract) Location: Schaumburg, IL (Hybrid) Pay Rate: $60-65/hour (W2 ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

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Showing results 1-20

Overnight Ai Data Rater information

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater, and why are they important?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

What are some common challenges faced by Overnight AI Data Raters, and how can they be managed?

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.

What are Overnight AI Data Raters?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

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 cities in Illinois are hiring for Overnight Ai Data Rater jobs? Cities in Illinois with the most Overnight Ai Data Rater job openings:
AI Data Engineer

AI Data Engineer

Instant Serve LLC

Moline, IL • On-site

$103.40K - $124.20K/yr

Other

Posted 15 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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