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Ml Data Associate Jobs (NOW HIRING)

Leidos

Data Scientist

Fort George G Meade, MD · On-site

$107K - $195K/yr

Associate's degree with 12 years of relevant experience may be considered. * Other degrees with strong coursework in advanced math, statistics, AI/ML, computer science, or data mining, or relevant ...

Leidos

Data Scientist

Fort George G Meade, MD · On-site

$107K - $195K/yr

Associate's degree with 12 years of relevant experience may be considered. * Other degrees with strong coursework in advanced math, statistics, AI/ML, computer science, or data mining, or relevant ...

Quantiphi, Inc.

Associate Technical Architect - Data

$65.25 - $84/hr

... * 3 AWS AI/ML Partner of the Year awards * 3 NVIDIA Partner of the Year awards * 3 Snowflake ... Associate Technical Architect - Data Experience Level: 8+ years Employment type: Full Time Location:

New

vTech Solution

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

... ML data readiness and feature-store-aligned data structuring. (5-8 Years) * Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years) * Master's degree preferred. * DAMA CDMP (Associate ...

Sierra Nevada Corporation

$190 - $261/hr

AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate, or ... Degree in AI/ML, data science, engineering, or related discipline. * AWS Solutions Architect ...

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Ml Data Associate information

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How much do ml data associate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ml data associate in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 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.
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Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

ME00652-Data Scientist 2

Momentum Engineering, Inc.

Fort George G Meade, MD • On-site

$105K - $140K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 29 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking an AI/ML Data Scientist to analyze and interpret large-scale datasets and develop advanced predictive and machine learning capabilities
  • This role combines data modeling, computational mathematics, statistical analysis, visualization, and AI/ML model development and deployment

Primary Responsibilities
  • Analyze large and complex datasets
  • Develop and apply data models and computational mathematics techniques
  • Perform qualitative and quantitative analysis
  • Develop data visualizations and analytical products
  • Design, train, evaluate, and deploy AI/ML models
  • Perform advanced statistical and predictive modeling
  • Process large datasets using distributed and cloud-based platforms
  • Collaborate with technical and mission stakeholders to translate analytical needs into solutions

Required Qualifications
  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Bachelor's Degree with 3 years of relevant experience, Associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
  • AI/ML experience
  • Strong data analysis and modeling skills
  • Experience with statistical and predictive modeling
  • Experience developing data visualizations
  • Experience working with large-scale datasets

Desired Qualifications
  • Experience with Spark
  • Experience with cloud data platforms
  • Experience deploying AI/ML models in operational environments

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
105,000 - 140,000 USD per year (Ft. Meade MD)

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