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Ml Data Associate Jobs in Raleigh, NC (NOW HIRING)

Redhat

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Implement AI/ML-driven automation for enhanced data quality and standardization. * Consult data ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

Pwc

Data Strategy & Governance -Director

Raleigh, NC · On-site

$155K - $410K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Explore and implement AI/ML techniques to enhance investment decision-making and optimize ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Explore and implement AI/ML techniques to enhance investment decision-making and optimize ...

ARA

Research Engineer-Data & Analytics

Raleigh, NC · On-site

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified engineer/scientist ... Proficiency in modern Python data and ML libraries (e.g., PyTorch, NumPy, Pandas/Polars)

Relay

Associate Product Manager

Raleigh, NC · On-site

As an Associate Product Manager, you will define and deliver customer-facing products that empower ... data sources and durable customer value. • Proactively identify opportunities to leverage AI/ML ...

Deloitte

Associate AI Solution Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

Deep understanding of AI/ML concepts, including experience with LLMs and their application in ... data platforms. Our delivery models are tailored to meet each client's unique requirements.

Relay

Associate Product Manager

Raleigh, NC · On-site

As an Associate Product Manager, you will help define and deliver products that drive business ... data sources and durable customer value. • Proactively identify opportunities to leverage AI/ML ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Raleigh, NC

Ml Data Associate information

See Raleigh, NC salary details

$55.9K

$66.1K

$125.4K

How much do ml data associate jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ml data associate in Raleigh, NC is $66,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $57,800.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Raleigh, NC?

For Ml Data Associate jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Raleigh, NC look for?

The top searched job categories for Ml Data Associate jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ml Data Associate jobs?

Cities near Raleigh, NC with the most Ml Data Associate job openings:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Raleigh, NC as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,067 per year, or $31.8 per hour.

Principal Data Analyst

Raleigh, NC • On-site, Remote

Redhat
See more jobs at Redhatexternal

$125K - $180K/yr

Full-time

Posted 27 days ago

Job description

*Telecommuting role to be performed anywhere in the U.S.

Act as the Product Owner to maximize the business value derived from the contact data domain

What You Will Do:

  • Define the strategic roadmap and success metrics for the contact domain related data products.
  • Govern global contact data standards and policies, ensuring fitness for use in downstream systems.
  • Implement AI/ML-driven automation for enhanced data quality and standardization.
  • Consult data consumers, analysts and data scientists on navigating data sources and interpreting data definitions to support their use cases.
  • Work collaboratively across functions and domains to manage data acquisition, enrichment and integrations to make data readily accessible.
  • Maintain accuracy and completeness of data through operational monitoring, validation and reporting.

What You Will Bring:

  • Bachelor's degree (U.S. or foreign equivalent) in Data Analytics, Data Science, Business Administration or related field and five (5) years of experience in the job offered or related role.
  • Must have five (5) years of experience as a business and technical lead for end-to-end data product lifecycles, including defining project scope, gathering business requirements, overseeing solution architecture and performing user acceptance testing.
  • Must have five (5) years of experience with: utilizing SQL for data extraction and advanced analytics to identify patterns and extract insights from large-scale enterprise data products; communicating complex data findings into actionable business strategies for technical and business audiences; leading data strategy initiatives, implementing data enrichment and data management solutions to improve data quality in core business platforms, including Marketo and Salesforce.com; conducting business and technical demonstrations, utilizing data visualization tools to communicate data insights and recommendations; and collaborating with platform administrators, system analysts and data engineers to implement data solutions and pipelines integrating data between platforms.

#LI-DNI

The salary range for this position is $125,653 - $180,000/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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