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Machine Learning Data Associate Jobs in Mechanicsburg, PA

Loram

Machine Operator 1, TSO

Harrisburg, PA · On-site

$20 - $21/hr

Learning on the Fly * Action Oriented * Listening * Personal Learning This post is also available ... Working knowledge of data systems and remote equipment operations cellar or tethered. Aurora ...

Signify

Machine Operator - Core Molder

New Oxford, PA · On-site

$17.50/hr

... ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At ... Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers ...

Varsity Tutors

Business Analytics Tutor

Harrisburg, PA · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Varsity Tutors

Python Tutor

Harrisburg, PA · Remote

$18 - $40/hr

... data with Pandas, creating visualizations, implementing class hierarchies, and automating tasks with scripts. Emphasizes readable, maintainable code and connects Python to machine learning, web ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Mechanicsburg, PA

Machine Learning Data Associate information

See Mechanicsburg, PA salary details

$9

$17

$29

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

As of Aug 21, 2026, the average hourly pay for machine learning data associate in Mechanicsburg, PA is $17.76, 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 Mechanicsburg, PA are hiring for Machine Learning Data Associate jobs?

Cities near Mechanicsburg, PA 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 Mechanicsburg, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $36,939 per year, or $17.8 per hour.

Customer Relationship Management (CRM) Lead

Data-Core Systems Inc.

Middletown, PA • On-site

Contractor

Re-posted 14 days ago

Job description

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise, and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit https://datacoresystems.com/.
Our client is a roadway system, and as a part of their digital transformation, they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE.
Data-Core Systems Inc. is seeking a Customer Relationship Management (CRM) Lead to be a part of our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team.
Roles & Responsibilities:
  • Study and understand the client's current, plus desired, Microsoft CE application, configurations, and technologies.
  • Coordinate changes and designs to the CBOS and UBOS, plus the client's other technologies, ensuring they meet the client's needs and follow standards and policies.
  • Architect and build a roadmap for delivery.
  • Assign work and manage and mentor a team of CRM and full-stack developers.
  • Ensure successful delivery for the CRM, portal, and web app as part of the UBOS project.
  • Advise the client's leadership on current trends in Microsoft CE applications and functionalities.
  • Act as a subject matter expert and represent the client in meetings and reports with stakeholders.
  • Raise concerns and potential issues to the client's leadership with sufficient detail for decision-making.
  • Architect and develop Microsoft CE customizations and configurations to meet the client's functionality needs.
  • Support integrations with middleware, ERP systems, payment gateways, phone systems, etc., which are part of the UBOS ecosystem.
  • Act as an expert for Data Migration to Microsoft CRM.
  • Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, best practices for others to follow, plus any other documentation as required by the client. This documentation shall follow the format and/or templates as instructed by the client.
  • Adhere to and follow all clients' standards, policies, and procedures.
  • Perform tasks and other duties as related to this position and role, and assigned by the client.

Required Skills & Experience:
  • 10 years of Microsoft CE application software systems implementation experience.
  • 10 years of experience developing CRM applications using .Net, JavaScript, Python, React, SSIS, and Reporting Services.
  • 5 years as a Microsoft-certified FastTrack solution architect for business applications.
  • 2 years of experience leveraging Azure AI services and Machine Learning for developing Microsoft D365 CE business applications.
  • Delivered 2 projects as a certified FastTrack project for Business Applications.
  • Delivered 1 successful implementation leveraging AI technologies to enhance customer service operations, including the development and implementation of AI-driven chatbots and virtual assistants, leveraging Copilot and Azure AI for Microsoft Dynamics CRM solution deployment.
  • Hands-on experience with Dynamics Contact Center solution deployment, including the ability to manage and optimize communication processes, improving efficiency and customer satisfaction.
  • Conducted training sessions on AI tools and Dynamics Contact Center features, ensuring team members are proficient and up-to-date with the latest technologies.
  • Proven implementation experience in Data Migration to Microsoft CRM from other non-COTs account management systems.
  • Proven implementation experience in developing integrations with ERP systems and data repositories.
  • Implemented high-volume contact center applications, including CRM, Portal, and Mobile Apps for customer service, Natural Language Interactive Voice Response (IVR), and ChatBOT functions enabled.
  • Strong understanding of the Human Centered Design Approach for product development
  • Proficient in the Microsoft ADO Testing Module.

Preferred Certifications & Education Qualifications:
  • Bachelor's degree in business management or information systems. An equivalent combination of education and/or experience may be accepted.
  • Microsoft MVP for the award category of Business Applications and technology area of Customer Experience, and/or Power Apps, and/or CoPilot Studio.
  • 5+ years as a Microsoft-certified solution architect for business applications.
  • Azure AI Fundamentals certification or similar AI or Machine Learning certifications.
  • Microsoft Dynamics-related Certifications.
  • An equivalent combination of education and/or experience may be accepted.

We are an equal opportunity employer.
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