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Ml Data Associate Jobs in Atlanta, GA (NOW HIRING)

KPMG US

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data preparation for AI/ML model training, and integrate AI solutions into enterprise applications.

Munich Re

Data Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join us in building AI/ML models that truly drive business value and make a measurable impact.

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice ... Minimum three years of recent professional or academic experience in AI/ML, data science, software ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice ... Minimum three years of recent professional or academic experience in AI/ML, data science, software ...

State Farm

Lead Data Scientist - Gen AI

Dunwoody, GA

  • Medical

  • Dental

  • Vision

  • Retirement

Establish and leverage a network of associates with business domain and data expertise * Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio * Assess ...

Accenture

Google Data Specialist

Atlanta, GA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... If Associate's Degree, must have equivalent minimum 6-year work experience Bonus points if you have

Accenture

Google Senior Data Engineer

Atlanta, GA · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

New

Accenture

AI/ML Computational Science Manager

Atlanta, GA · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun ... Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ...

Deloitte

Forward Deployed Engineer- AWS

Atlanta, GA · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Atlanta, GA

$100K - $138K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Atlanta, GA · On-site

$100K - $138K/yr

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Atlanta, GA

Ml Data Associate information

See Atlanta, GA salary details

$55.3K

$65.4K

$124.1K

How much do ml data associate jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ml data associate in Atlanta, GA is $65,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $57,200.00 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 Atlanta, GA?

For Ml Data Associate jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Atlanta, GA look for?

The top searched job categories for Ml Data Associate jobs in Atlanta, GA are:

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Cities near Atlanta, GA with the most Ml Data Associate job openings:

Ml Data Associate jobs near you

Director of Embodied AI, Data Foundry

Stord, Inc.

Atlanta, GA • On-site

$180 - $260/hr

Other

Posted 28 days ago

Stord rating

3.1

Company rating: 3.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Director of Embodied AI, Data Foundry

Stord operates the largest independent e‑commerce fulfillment network in the U.S., with 20+ fulfillment centers, 4,000+ warehouse associates, and nearly 100million packages shipped annually. We are building a new business line that turns this operational infrastructure into valuable training data assets in physical AI.

What You Will Own
  • Close customers: run customer discovery and close initial pilot deals with humanoid robotics, labs, and physical AI companies. Sit across from their VPs of AI and Heads of Data, understand their training pipeline needs, and translate that into what Stord delivers.
  • Define and deliver the product: own the data product across quality tiers—from RGB egocentric video through depth‑enhanced and full multimodal capture with hand pose and annotations. Decide what gets built, in what order, based on what buyers will actually pay for. Hold the line on quality.
  • Run the capture and delivery program: stand up the warehouse capture operation—camera and rig hardware selection, enrollment, edge processing, and processing pipelines that package datasets for delivery. Coordinate across warehouse operations, engineering, and customers to ship datasets on spec and on schedule.
  • Build the team: hire and lead a small, senior team, expanding as the business scales. Set technical direction and quality bar; make architecture and trade‑off decisions without needing to write every line of code.
What You Bring
  • Run a data operation or data product end to end at a robotics or AI data company, owning the full lifecycle: defining data to collect, managing capture and annotation, deploying hardware capture systems, ensuring quality, and delivering to ML teams.
  • Technical expertise in computer vision and ML data formats, able to read pipeline designs and judge their soundness.
  • Commercial instinct: experience selling data products to robotics or AI labs, or having purchased data and identifying what makes a dataset worth paying for.
  • Execution across many moving parts, able to mediate between engineering, operations, and customers, and drive deals to close.
Why This Role
  • A rare opportunity to build a high‑growth business from the ground up with infrastructure and resources to support.
  • A structural moat that no startup can replicate.
  • Direct access to the fastest‑growing buyer market in AI.
  • A CTO/Co-Founder as your direct partner who will run initial buyer conversations alongside you and remove internal obstacles.
Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Stord participates in E‑verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S.

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