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Ml Data Associate Jobs in Tennessee (NOW HIRING)

Lead AI / ML Engineer

Nashville, TN · On-site

$99K - $130K/yr

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science (or related technical fields) or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum ...

Lead AI / ML Engineer

Morristown, TN · On-site

$89K - $117K/yr

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science (or related technical fields) or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum ...

The Digital & AI Platforms organization at World Wide Technology is hiring an Associate Client ... Experience leading digital transformation programs such as AI/ML and GenAI, data platforms and ...

Showing results 41-60

Ml Data Associate information

See Tennessee salary details

$52.2K

$61.8K

$117.1K

How much do ml data associate jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ml data associate in Tennessee is $61,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $54,000.00 per year, depending on experience, location, and employer.

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 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 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.

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 are popular job titles related to Ml Data Associate jobs in Tennessee? For Ml Data Associate jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Ml Data Associate jobs? Cities in Tennessee with the most Ml Data Associate job openings:
Infographic showing various Ml Data Associate job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $61,753 per year, or $29.7 per hour.

Payer Dev, Git & ML-Ops Engineer, Senior Associate

Pwc

Nashville, TN

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
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 Operations Consulting team, you will design and build a next-generation analytics platform tailored for healthcare payers. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain exemplary standards while building meaningful client relationships and navigating increasingly complex situations. This role offers the chance to work alongside healthcare experts and data scientists, directly influencing client outcomes and contributing to innovative solutions in a dynamic consulting environment.
Responsibilities
- Design and implement advanced analytics solutions for healthcare payers
- Analyze intricate challenges and develop actionable insights
- Mentor and guide junior team members in their professional growth
- Maintain exceptional standards in deliverables
- Build and nurture substantial relationships with clients
- Navigate complex project environments and adapt to changing needs
- Collaborate with healthcare experts and data scientists to drive innovation
- Contribute to the development of impactful solutions in a consulting setting
What You Must Have
- Bachelor's Degree
- At least 4 years of experience in software engineering or data engineering
What Sets You Apart
- Master's Degree in Computer Science, Data Engineering, Software Engineering preferred
- Experience operating dbt at scale on Databricks
- Prior work with healthcare analytics packages
- Designing CI/CD pipelines for Databricks Asset Bundles
- Provisioning Azure Databricks workspaces and managing isolation patterns
- Building Python CLI tools with argparse and YAML configuration
- Designing AI agent systems for development workflows
- Familiarity with corporate network constraints
- Experience with multi-cloud data flows

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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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