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Ml Data Associate Jobs in Washington (NOW HIRING)

Accenture

AI / ML Associate Manager

Arlington, VA · On-site

$76K - $136K/yr

Work closely with data scientists and ML engineers to ensure a clear understanding of the business problem and the proposed technical solution * Facilitate communication between technical and non ...

Accenture

AI / ML Associate Manager

Arlington, VA

$76K - $136K/yr

Work closely with data scientists and ML engineers to ensure a clear understanding of the business problem and the proposed technical solution * Facilitate communication between technical and non ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. About steampunk Steampunk relies on several factors to determine salary ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. About steampunk Steampunk relies on several factors to determine salary ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. Steampunk relies on several factors to determine salary, including but not ...

Axle

Associate Director of Data and Modeling

Rockville, MD · On-site

$60K - $60K/yr

... Associate Director of Data and Modeling to help shape the next generation of data-intensive ... AI/ML and Emerging Methods: Lead the development of AI/ML capabilities where they can create ...

Zantech

Data Scientist

Arlington, VA · On-site

Ensure AI/ML outputs comply with Responsible AI (RAI) governance and inherit Row-Level/Column-Level ... Azure AI Engineer Associate) * Certifications Required: * Certifications Preferred: Required ...

Zantech

Data Scientist

Arlington, VA · On-site

Ensure AI/ML outputs comply with Responsible AI (RAI) governance and inherit Row-Level/Column-Level ... Azure AI Engineer Associate) * Certifications Required: * Certifications Preferred: Required ...

Zantech

Data Scientist

Arlington, VA · On-site

Ensure AI/ML outputs comply with Responsible AI (RAI) governance and inherit Row-Level/Column-Level ... Azure AI Engineer Associate) * Certifications Required: * Certifications Preferred: Required ...

Noblis

AI/ML Engineer

Reston, VA · On-site

OR associate's degree with 6 years of related experience; OR High School diploma/GED with 9 years ... Experience designing and implementing end-to-end machine learning (ML) pipelines, including data ...

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Showing results 21-40

All JobsMl Data Associate JobsMl Data Associate Jobs in Washington

Ml Data Associate information

See Washington salary details

$65.1K

$77.1K

$146.1K

How much do ml data associate jobs pay per year?

As of Sep 2, 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?

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

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.

AI / ML Associate Manager

Accenture Federal Services

Arlington, VA • On-site

Full-time

Re-posted 25 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 499 rated business services

Job description

AI / ML Associate Manager

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward!

Act as the primary bridge between mission stakeholders and our highly technical machine learning development team. You will be responsible for translating complex operational challenges into well-defined requirements for AI/ML models. Your work is critical to ensuring that the models we build are not just technically sound, but that they deliver tangible, mission-relevant outcomes. This role requires a unique blend of business acumen, analytical skills, and a solid understanding of artificial intelligence concepts.

Responsibilities:

  • Elicit, analyze, and document business and functional requirements from mission stakeholders for new AI/ML models and features
  • Translate mission problems into clear, unambiguous user stories and technical specifications for the machine learning development team
  • Define acceptance criteria for AI/ML models, including required inputs, desired outputs, and key performance metrics (e.g., accuracy, precision, latency)
  • Work closely with data scientists and ML engineers to ensure a clear understanding of the business problem and the proposed technical solution
  • Facilitate communication between technical and non-technical teams, explaining complex AI/ML concepts in understandable terms
  • Assist in creating test cases and participate in user acceptance testing (UAT) to validate that model outputs meet the defined business needs
  • Maintain the product backlog for the MaaS platform, prioritizing features and user stories in collaboration with the team lead

Must have:

  • 3+ years of experience as a Business Analyst, Systems Analyst, or in a similar requirements-focused role
  • Experience in requirements elicitation, analysis, and documentation in an Agile/Scrum environment
  • Solid understanding of fundamental AI/ML concepts (e.g., supervised vs. unsupervised learning, training data, model evaluation)
  • Excellent communication and interpersonal skills, with the ability to facilitate meetings and build consensus between diverse stakeholder groups
  • Strong analytical and problem-solving abilities

Security Clearance:

  • Active TS or TS/SCI clearance

What Accenture Federal Services employees say

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