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Ml Data Associate Jobs in Washington (NOW HIRING)

Leidos

Data Scientist

Fort George G Meade, MD · On-site

$107K - $195K/yr

  • Retirement

  • PTO

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

$107K - $195K/yr

  • Retirement

  • PTO

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 ...

Innodata Inc.

Data & Annotation Engineer

Washington, DC

$55 - $60/hr

Associate DataCard provenance records with annotated and synthetic outputs in coordination with the ... Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance ...

Noblis

Data Scientist (AI/ML)

Chantilly, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

OR Associate's degree with 6 years of related experience; OR High School diploma/GED with 9 years ... data-intensive and AI/ML workloads. Overview Overview Noblis and our wholly owned subsidiaries ...

Noblis

Data Scientist (AI/ML)

Chantilly, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

OR Associate's degree with 6 years of related experience; OR High School diploma/GED with 9 years ... data-intensive and AI/ML workloads. Overview Overview Noblis and our wholly owned subsidiaries ...

Peraton

Data Architect SME

Herndon, VA · On-site

$120 - $150/hr

Bachelor's degree and 12 years of experience or Masters degree and 10 years or Associate's degree ... Knowledge ofAI/ML data pipelines, streaming data, and predictive analytics architectures.

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Ml Data Associate information

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$65.1K

$77.1K

$146.1K

How much do ml data associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ml data associate in Washington is $77,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $67,400.00 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.

What are popular job titles related to Ml Data Associate jobs in Washington?

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What job categories do people searching Ml Data Associate jobs in Washington look for?

The top searched job categories for Ml Data Associate jobs in Washington are:

What cities in Washington are hiring for Ml Data Associate jobs?

Cities in Washington with the most Ml Data Associate job openings:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $77,061 per year, or $37 per hour.

Data Intelligence - Engineer, Data Associate

Ampcus Inc

Columbia, MD • On-site

Full-time

Re-posted 22 hours ago

Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are in search of a highly motivated candidate to join their talented team as a Data Intelligence - Engineer, Data Associate. The role involves understanding data needs, developing reports and tools for business users, and ensuring high data quality through reliable data loading processes.
Responsibilities:
• Analyzes and validates existing routines and communicates impacts.
• Assists with data transformation, manipulation, and presentation to users.
• Works with Business Analysts, Business Intelligence Developers, Infrastructure Architects, and key business users to review, design, and develop data models and ETL processes.
• Supports the Software Engineering team with data analysis and validation with extensive SQL queries.
• Writes and executes ETL code, primarily complex SQL stored procedures, but with a strong ability to leverage other technologies.
• Partner with senior team members on the design, configuration and implementation of Data Integration Framework.
Qualifications:
Required:
• Bachelor's Degree in Information Technology or Computer Science or Engineering
• In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
• Previous Provider data experience working with leadership on provider data issues, accuracy, and provider data interactions with claims and claims platforms.
• Knowledge of Salesforce and Facets is required.
• Experience with reporting to leadership and working remotely with teams.
• Ability to perform each essential duty satisfactorily.
Preferred:
• Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python).
• Knowledge and understanding of data exchange formats.
• Knowledge and understanding of database design and implementation concepts.
• Knowledge and understanding of data movement concepts.
• Ability to recognize, analyze, and solve a variety of problems.
• Excellent communication skills both written and verbal.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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