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Machine Learning Data Associate Jobs in Maryland

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

... 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 ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

$110 - $170/hr

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Associates degree with 17 years of relevant experience * All Levels: * Bachelor'sDegree 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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How much do machine learning data associate jobs pay per hour?

As of Aug 21, 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 is a machine learning data associate?

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 are the key skills and qualifications needed to thrive as a machine learning data associate?

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 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.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning 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 vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities in Maryland are hiring for Machine Learning Data Associate jobs?

Cities in Maryland with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $37,826 per year, or $18.2 per hour.

Data Scientist 2

Altamira Technologies Corp.

Annapolis Junction, MD • On-site

Full-time

Re-posted 15 days ago

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.Looking for Data Scientists to join our team. In this role you will get to support key activities in defense of emerging threats in the cybersecurity domain.You will work directly with our software engineering and threat analyst teams to model complex data in an environment comprised of many databases and varying technology stacks.
TS/SCI/FS Poly clearance only is required for this position.
Qualifications:
  • Must have a bachelor's degree (BS) in a quotative discipline (e.g. statistics, mathematics, operations research, engineering or computer science) from an accredited college/university.
  • Minimum of five (5) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (i.e. R, Python, SAS, MATLAB).
  • Independently creating mission specific and tailored tradecraft automated solutions; perform data scientist functions that directly align/integrate into the architecture.
  • Implementing best practices in knowledge management, and/or creating automated solutions. Experience with Python, Jupyter Notebooks, ElasticSearch/Kibana, SQL database
  • Develop statistical and graph-based algorithms to analyze and make sense of data sets.
  • Clean and structure disparate data received from a globally dispersed customer base.
  • Provide insight into dataset structures and produce data visualizations that are consumable by both technical an non-technical audiences.
  • Translate mission customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical and machine learning techniques to create descriptive and predictive analytics.
Required Skills:
  • Must have a Bachelor of Science Degree in quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master's Degree or Doctoral Degree may be substituted for some experience.
  • Seven plus (7+) years' experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB).
  • Experience with Windows server management and Power BI Report Service.
  • Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana/OpenSearch.Experience with Java is also a plus.
  • Background working with analyst teams including conducting data analysis and creating data visualizations.Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required.
  • Experience working within a cybersecurity mission environment using tools and capabilities to generate threat intelligence.This includes working with cybersecurity analyst teams to perform data analysis and a deep understanding of adversary tradecraft.
  • U.S. Citizenship
  • Active TS/SCI security clearance with polygraph
Education and Experience:
  • Must have a Bachelor of Science Degree in quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master's Degree or Doctoral Degree may be substituted for some experience.
  • Seven plus (7+) years' experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB).
Employment Type: Full Time

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