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Ml Data Associate Jobs in Portland, OR (NOW HIRING)

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$61K

$72.2K

$136.8K

How much do ml data associate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ml data associate in Portland, OR is $72,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $63,100.00 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 Portland, OR?

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

What job categories do people searching Ml Data Associate jobs in Portland, OR look for?

The top searched job categories for Ml Data Associate jobs in Portland, OR are:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $72,156 per year, or $34.7 per hour.

Executive Partner (CIO Advisory) - State & Local Government Clients (West)

Gartner

Portland, OR • On-site

Other

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Manage a portfolio of 25+ members within State and Local Government organizations, understanding their priorities and challenges.

  • Help members find solutions and execute their strategies by leveraging personal experience, Gartner's capabilities, and industry trends.

  • Conduct briefings, strategy sessions, workshops, and research analyst visits to deliver tailored advisory services.

Job description

A Gartner Executive Partner (EP) is an indispensable advisor for every Information Technology and digital leader. Executive Technology Services is an exclusive membership-based organization serving over 7,000 CIOs / CxOs and senior IT leaders across 87 countries. These members benefit from the convenience of a single source of knowledge and insight focused on CIO-level challenges, service delivery in their context, the shared knowledge of the world's largest community of CIOs and Technology Leaders, and the assurance of Gartner objectivity and independence. Gartner's Executive Partners act as coaches, content-providers and business advisors to Executive Programs members, and partner with colleagues across the organization to deliver service solutions utilizing Gartner products and services.

What you'll do:

  • Manage a portfolio of 25+ members consisting of digital/technology within State and Local Government (SLG) organizations.
  • Get a deep understanding of the members' priorities and challenges. Help members find solutions and execute on their strategy by leveraging your own experience, Gartner's capabilities, and the trends across our client base.
  • Challenge the member with new ideas and innovative approaches and provide an outside "fresh eyes" perspective on their decisions and direction.
  • Define and deliver innovative solutions by assessing the member's top Priorities and developing a customized service plan.
  • Conduct briefings, strategy sessions and workshops both virtual and onsite, as well as research analyst visits, roundtables, and webinars.
  • Build a strong partnership with Gartner's Sales organization and collaborate with them to ensure strong member engagement and renewal of ExP business.
  • Present or facilitate at local ExP events

Who You Are:

  • Our most successful Executive Partners have the ability to adopt best practices, follow established processes, and embrace feedback with a mindset of continuous improvement. Gartner Executive Partners have natural curiosity and share their knowledge and expertise with Executive Programs members. They understand the members' critical priorities and build trust by delivering value and leveraging key internal partnerships to drive results.
  • Consulting and/or CxO/CIO roles with 15+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Big Data, Cloud, etc.)
  • The ideal candidate(s) should be able to demonstrate exposure to large E2E transformative initiatives having led/co-led large critical programs
  • Extensive knowledge of a digital/technology leaders focus areas and an in-depth understanding of the IT industry (including leadership, IT operations management, IT and Business strategy, technology trends, performance metrics, KPI's etc.) and priorities such as the challenges of "today's" digital/technology leaders and how Gartner ExP can make the difference as an advisory organization.
  • Experience with key business concepts such as revenue enablement & generation, market improvement, risk reduction, and launching a P&L and adding to the top line / substantial P&L responsibility.
  • Project to Product experience where new revenue streams were created.
  • Experience with Agile / DevOps / Emerging Technologies
  • Advanced critical thinking and structured problem-solving skills
  • High tolerance and an advanced ability to lead and manage ambiguous situations
  • Excellent relationship building and collaboration skills
  • Superior verbal, written, facilitation and presentation skills (Executive Presence)
  • Demonstrable sales and/or business development experience with CXO level executives
  • Expert skills at managing multiple priorities
  • Committed to making others successful
  • Naturally Collaborative
  • Active listening skills
  • Ability to challenge the status quo and to be provocative in a professional and engaging manner.

#LI-MP8

#LI-REMOTE

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 160,000 USD - 194,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email toApplicantAccommodations@gartner.com.

Job Requisition ID:110904

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