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Full Time Machine Learning Data Annotation Jobs in Seattle, WA

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Should have at least 1 year of experience in below skills. * C#, data structures, and basic ... This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen, Green Card Holder, GC ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Collaborate with data scientists and flight software engineers to integrate AI capabilities into ... Proven experience deploying machine learning models into production. * Strong software engineering ...

New

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Participate in the full development cycle: data collection, labeling, model development ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ... Data Analysis and Insight Generation : Analyze experimental data to extract actionable insights.

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Maintain awareness of industry best practices for data maintenance handling as it relates to your ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Maintain awareness of industry best practices for data maintenance handling as it relates to your ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Responsibilities : • Study and transform data science prototypes • Design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning ...

Apple

Machine Learning Engineer

Seattle, WA

$171K - $302K/yr

We are actively involved in the whole ML cycle from data collection design and data processing to ... machine learning or related field PhD in computer vision, computer graphics, machine learning ...

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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 Jul 1, 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

Sr. AI ML Engineer /Data Scientist

Futran Tech Solutions Pvt. Ltd.

Bellevue, WA • On-site

Full-time

Posted 11 days ago

Job description

Role :Sr. AI ML Engineer /Data Scientist
Location : Bellevue ,Washington (Day 1 onsite)
Job Description :
We are searching for a strategic and inquisitive senior data scientist/senior AI-ML Engineer to develop and run with data-centered projects in telecom sector.
KEY RESPONSIBILITIES:
  • Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests (telecom-domain).
  • Collating and cleaning data from various entities .
  • Selecting and employing advanced statistical procedures to obtain actionable insights.
  • Cross-validating models to ensure their generalizability.
  • Producing and disseminating non-technical reports that detail the successes and limitations of each project.
  • Suggesting ways in which insights obtained might be used to inform business strategies.
  • Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

Required Skills : (+9 years )
  • Advanced degree in data science, statistics, computer science, or similar.
  • Industry experience as data scientist and experience in machine learning, data visualizations, data mining, data understanding.
  • Hands-on experience in PySpark, Python and machine learning libraries like numpy, pandas, sci-kit-learn,
  • Should have sound knowledge in both Supervised and Unsupervised Machine Learning Algorithms Like Linear Regression, Logistic Regression, K-Nearest Neighbor, Navie Bayes, Decision Tree, SVM, MLP, PCA, LDA, K-mean, Isolation Forest, DBSCAN, Ensemble Machine Learning Algorithm (Random Forest, Adaboost, Xg-Boost etc).
  • Should have knowledge in Statistics, hypothesis testing, EDA, Feature Engineering etc.
  • Should have experience in Deep Learning Models, Generative Adversarial Network (GAN), Reinforcement Learning Models (SARSA, Q-Learning), LSTM, BI-LSTM, BERT, GPT-3, GPT-4, Transformers.
  • Experience in Natural Language Processing, NER Models, have knowledge in OpenAI , Image Processing.
  • Knowledge in Time-series Forecasting , Predictive Methodologies.
  • Proficiency in Python, PySpark, Hive datasets.
  • In-depth understanding of SQL, NoSQL.
  • Competent in machine learning principles and techniques.
  • Demonstrable history of devising and overseeing data-centered projects.
  • Knowledge in Clean Code and code-optimization.
  • Compliance with prevailing ethical standards.
  • Good to have experience in cloud environment (AWS, Azure )etc.
  • Research and innovation.

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