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Machine Learning Data Associate Jobs in Sterling, IL

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.

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.

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.

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Machine Learning Data Associate information

See Sterling, IL salary details

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

As of Jul 30, 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 are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

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.

What is the salary for a ML data associate?

The salary for a Machine Learning Data Associate at Amazon typically ranges from $40,000 to $70,000 per year, depending on experience, location, and specific role requirements. Entry-level positions may start lower, while experienced associates or those in higher-cost areas can earn more. Benefits often include health insurance, paid time off, and opportunities for skill development in data annotation and machine learning tools.

What are Machine Learning Data Associates?

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 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.

Is ML 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 depend on the employer, location, and individual career goals.

How much do machine learning data associates make?

Machine Learning Data Associates typically earn between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates working with large datasets or specialized tools can earn higher salaries.

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 does a machine learning data associate do?

A machine learning data associate is responsible for collecting, cleaning, and organizing data used to train machine learning models. They ensure data quality and consistency, often using tools like SQL, Python, or data annotation platforms, to support accurate model development and deployment.
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:
Infographic showing various Machine Learning Data Associate job openings in Sterling, IL as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 87% Physical, 3% 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

$206K - $282K/yr

Full-time

Re-posted 19 days ago


Hyve Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

122nd of 156 rated electronics manufacturers


Job description

@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions.

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.

Compensation: $206K to $282K

@ HYVE Solutions, we believe employees are our greatest asset and we empower them to make a difference in our business. Diversity and inclusion make us all better. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  


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