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Machine Learning Data Associate Jobs in Maryland

... Associates degree with 5 years of relevant experience * Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Associates degree with 12 years of relevant experience * Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

... or an Associates degree with 5 years of relevant experience • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science ...

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Machine Learning Data Associate information

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$9

$18

$29

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

As of Jul 31, 2026, the average hourly pay for machine learning data associate in Maryland is $18.19, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.38 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.

What is the salary for a ML data associate?

The salary for a Machine Learning Data Associate at Amazon typically ranges from $40,000 to $70,000 per year, depending on experience, location, and specific role requirements. Entry-level positions may start lower, while experienced associates or those in higher-cost areas can earn more. Benefits often include health insurance, paid time off, and opportunities for skill development in data annotation and machine learning tools.

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.

Is ML 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 depend on the employer, location, and individual career goals.

How much do machine learning data associates make?

Machine Learning Data Associates typically earn between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates working with large datasets or specialized tools can earn higher salaries.

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 does a machine learning data associate do?

A machine learning data associate is responsible for collecting, cleaning, and organizing data used to train machine learning models. They ensure data quality and consistency, often using tools like SQL, Python, or data annotation platforms, to support accurate model development and deployment.
What cities in Maryland are hiring for Machine Learning Data Associate jobs? Cities in Maryland with the most Machine Learning Data Associate job openings:
Infographic showing various Machine Learning Data Associate job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $37,826 per year, or $18.2 per hour.

Senior Software Engineer - Machine Learning / Data Science

Staffed4U

Laurel, MD

$220K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Software Engineer - Level 3 (Machine Learning / Data Science)Location: Laurel, MD (Onsite)
Clearance: Active TS/SCI with Poly required
Citizenship: U.S. Citizenship required
Salary Range: $220,000-240,000
Position Overview

We are seeking a highly experienced Software Engineer 3 (SWE-3) to support mission-critical government programs in Laurel, MD. The ideal candidate will possess extensive experience in software engineering, machine learning, and data analytics within secure government environments. This role requires hands-on development expertise, advanced analytical skills, and the ability to support agency compliance and operational standards.

Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field plus 20 years of relevant experience
  • Active TS/SCI clearance with Polygraph
  • Ability to work on-site in Laurel, MD five days per week
Required Skills & Experience
  • Experience with Java, Scala, and Python
  • Experience with Lucene, JEXL, SQL, and JSON
  • Experience developing in Linux operating environments
  • Experience with Map/Reduce
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/GitLab and/or Stash/Bitbucket
  • Experience with Jira and Confluence
  • Experience with Scikit-learn
  • Experience building and monitoring Machine Learning models
  • Experience with Random Forest algorithms and feature development
  • Understanding of Agency compliance standards, policies, and authorities
  • Experience working with Agency corporate systems
  • Experience creating, reviewing, and maintaining technical documentation
Desired Skills & Experience
  • Data Science background and analytical expertise
  • Experience with AWS cloud technologies
  • Experience implementing Machine Learning systems in production environments
  • Experience with Apache Spark
  • Experience performing Exploratory Data Analysis (EDA)
  • Experience with Agentic AI technologies
  • Experience working with Large Language Models (LLMs)
  • Experience with Machine Learning feature engineering and development
  • Familiarity with additional Machine Learning models and advanced analytical techniques
Preferred Attributes
  • Strong problem-solving and analytical capabilities
  • Ability to work independently and collaboratively within mission-focused teams
  • Excellent written and verbal communication skills
  • Experience supporting high-security government environments
Compensation & Benefits
  • Competitive salary based on experience and qualifications
  • Comprehensive benefits package
  • Opportunity to support impactful national security missions
  • 100% employer-paid Medical, Dental, and Vision coverage for employees and their families (CareFirst)
  • 401(k) with employer match
  • Generous Paid Time Off and paid holidays
  • Annual bonus opportunities
  • Employer-paid short-term and long-term disability insurance
  • Employer-paid life insurance (150% of salary, up to $200K)
  • Monthly stipend for cell phone and internet
  • Additional employee perks and recognition programs
 
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.