ZipRecruiter

Log In

2

Full Time Machine Learning Data Annotation Jobs in Seattle, WA

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

Vilya

Machine Learning Engineer

Seattle, WA

$154K - $174K/yr

Implement and optimize algorithms for data processing, model training and model deployment ... A solid background in machine learning, including linear algebra, statistics, and calculus

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... EEO Know Your Rights poster Employment Type: FULL_TIME

MedBridge, Inc.

Head of Data and Machine Learning

WA · On-site

Job Type Full-time Description Join the team shaping the future of healthcare! Medbridge is a ... As a Head of Data and Machine Learning , you will own Medbridge's most important technical bet ...

next page

Showing results 1-20

All JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Seattle, WA

Full Time Machine Learning Data Annotation information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do full time machine learning data annotation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time machine learning data annotation in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Seattle, WA? For Full Time Machine Learning Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Seattle, WA look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Seattle, WA are:
Full Time Machine Learning Data Annotation jobs near you
Machine Learning Engineer

Machine Learning Engineer

Factspan Inc

Seattle, WA • On-site

Full-time

Posted 9 days ago

Job description

Company Description
Factspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.
Job Description
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
  • Conduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi
  • Requires a diversified technical person who can setup environments on AWS and integrate different pieces of solution.
  • Develop data pipelines to integrate different data sources
  • Experienced in using Google, Amazon NLP APIs to parse data and analyse output
  • Experienced in using Amazon dockers to develop and deploy the solution
  • Proficient in JAVA & Python programming
  • Understanding of topic modelling, supervised & unsupervised machine learning
  • Plan the project milestones, resourcing and work distribution
  • Execute project in a timely manager, analyse risks and mitigate them
  • Able to lead a technical team of data scientist and engineers
  • Communicate the project progress, challenges, results and next action items to stake holders

Qualifications
  • 3-8 years of experience
  • Bachelor's/Master's Degree in Engineering, Statistics, Mathematics
  • Excellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply