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Machine Learning Data Associate Jobs in Sterling, IL

Walmart

Stocking Team Associate

Clinton, IA · On-site

$15 - $28/hr

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Walmart

Stocking Team Associate

Dixon, IL · On-site

$15 - $28/hr

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Walmart

Stocking Team Associate

Sterling, IL · On-site

$15 - $28/hr

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Menk USA

Manufacturing Technician

Sterling, IL · On-site

$27 - $35/hr

... comfortable learning new technologies and using data to identify problems and make informed ... Associate degree in Engineering Technology, Industrial Technology, Manufacturing Technology, or a ...

Coilcraft

Manufacturing Technician - Oregon

Oregon, IL · On-site

$21 - $26/hr

Perform machine refurbishment and testing to support manufacturing.Safely handle chemicals using ... Maintain accurate records and data of engineering studies, tests, and drawings.Identify and ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Sterling, IL

Machine Learning Data Associate information

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$29

How much do machine learning data associate jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning data associate in Sterling, IL is $17.74, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $18.89 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Sterling, IL are hiring for Machine Learning Data Associate jobs?

Cities near Sterling, IL with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Sterling, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $36,899 per year, or $17.7 per hour.

System Architect - AI and Rack-Scale Systems Architecture

Hyve Solutions

Oregon, IL

$227K/yr

Full-time

Retirement, PTO

Re-posted 10 days ago

Hyve Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

123rd of 159 rated electronics manufacturers

Job description

Hyve Company Overview

Hyve Solutions transforms complex engineering challenges into production reality for technology innovators building AI, cloud, and connected infrastructure. As a US-based manufacturing partner, the company rapidly delivers fast, agile execution through dep technical partnerships and co-innovation, and supply chain clarity. Hyve's integrated ODM, CM, and SI capabilities eliminate vendor complexity while accelerating time-to-market with single-partner accountability from design through scale. The company co-innovates with deep engineering expertise, treating customer success as its own while building tomorrow's digital infrastructure.


Job Summary:
Hyve Solutions Corporation is seeking a highly skilled System Architect specializing in AI and Rack-Scale Systems Architecture. This role involves designing and optimizing cutting-edge data center infrastructure to support advanced AI workloads and high-performance computing, driving innovation in hardware and systems integration.
Job Responsibilities:**
* Lead the architectural design and development of AI-optimized and rack-scale systems for data center environments.
* Define and implement data center architecture strategies, including power, cooling, networking, and storage, to support high-density AI deployments.
* Evaluate and select hardware components, including servers, GPUs, interconnects, and storage solutions, to meet performance and efficiency targets.
* Develop and manage the integration of complex hardware and software systems, ensuring seamless operation and scalability.
* Provide technical leadership and guidance on data center infrastructure management best practices.
* Collaborate with engineering teams on hardware development and system validation.
* Analyze emerging technologies and trends in AI, machine learning, and data center architecture to inform future system designs.
* Document architectural designs, specifications, and integration procedures.
Job Qualifications:**
* Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
* Proven experience in Architecting Systems, particularly in Data Center Architecture and Data Center Infrastructure.
* Strong understanding of Infrastructure Architecture and Infrastructure Engineering principles.
* Extensive experience with Hardware Development and Systems Architecture, with a focus on AI/ML platforms.
* Demonstrated expertise in Data Center Management and operational best practices.
* Experience with complex system Integration, including hardware, software, and networking components.
* In-depth knowledge of rack-scale design, power delivery, cooling methodologies, and networking topologies for high-performance computing.
* Ability to work independently and collaboratively in a fast-paced, innovative environment.
* Excellent communication, presentation, and problem-solving skills.

What's in it for you

Benefit Insurance

  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • Mental Health Care
  • 401K with match
  • Paid Holidays, Vacation & Sick Days
  • Tuition Reimbursement
  • Perks at Work
  • LEAP Program
  • MyFlexPay

We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We are committed to creating an inclusive environment for all employees.

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