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Machine Learning Data Associate Jobs in Boiling Springs, SC

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Responsibilities - Lead the design and implementation of Generative AI and Machine Learning ... data - Assisting teams in developing technical coaching and skills - Participating in client ...

Machinist

Union, SC

$19.50 - $26.50/hr

Associate's degree in Machine Tool Technology. * Ability to use complicated drawings. * Ability to ... This position may require access to United States export controlled technical data ("CTD") and ...

Machinist

Union, SC · On-site

$19.50 - $26.50/hr

Associate's degree in Machine Tool Technology. * Ability to use complicated drawings. * Ability to ... This position may require access to United States export controlled technical data ("CTD") and ...

Machinist

Union, SC

$19.50 - $26.50/hr

Associate's degree in Machine Tool Technology. * Ability to use complicated drawings. * Ability to ... This position may require access to United States export controlled technical data ("CTD") and ...

Machinist

Union, SC · On-site

$19.50 - $26.50/hr

Associate's degree in Machine Tool Technology. * Ability to use complicated drawings. * Ability to ... This position may require access to United States export controlled technical data ("CTD") and ...

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Machine Learning Data Associate information

See Boiling Springs, SC salary details

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

As of May 30, 2026, the average hourly pay for machine learning data associate in Boiling Springs, SC is $16.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.50 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.

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 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.

What cities near Boiling Springs, SC are hiring for Machine Learning Data Associate jobs? Cities near Boiling Springs, SC with the most Machine Learning Data Associate job openings:
US Tech - AI Engineering Manager

US Tech - AI Engineering Manager

Pwc

Spartanburg, SC

$73.50K - $244K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the People Tech & AI team you will lead teams delivering governed Generative AI solutions, designing testing strategies, evaluation frameworks, and governance controls to promote reliable, ethical, and scalable AI agents. As a Manager you will supervise teams, manage client accounts, and apply leading practices across AI platforms, data pipelines, and integrations, while upholding PwC's values and professional standards. This role offers the chance to drive innovation in AI technology while fostering a collaborative environment that empowers team members and enhances client relationships.
Responsibilities
- Foster a collaborative environment to enhance team performance
- Uphold professional standards and PwC values in every deliverable
- Drive innovation in AI technology to meet client needs
- Supervise team members and support their professional development
What You Must Have
- Bachelor's Degree
- At least 6 years of experience in AI/ML engineering, data engineering, or software engineering
- In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college
What Sets You Apart
- Master's Degree preferred
- Proven experience leading AI solution teams
- Demonstrating understanding of LLMs and agent architectures
- Possessing experience with Microsoft Power Platform
- Bringing prior consulting or professional services experience
- Establishing testing and validation standards for AI agents
- Managing and coaching teams for continuous development
- Building trusted client relationships and translating requirements
- Designing and overseeing automated testing frameworks for Microsoft Copilot Studio and Google AgentSpace, including unit, integration, end-to-end, and regression testing, as well as low-code workflows, connectors, plugins, and grounding data
- Leading governance of end-to-end AI agent pipelines and data flows, verifying integration correctness and resiliency, data quality, lineage, transformation accuracy, and embedded automated quality gates across CI/CD pipelines

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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