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Data Annotation Engineer Jobs in Seattle, WA (NOW HIRING)

Insight Global

Real Estate Specialist

Seattle, WA · Remote

$25 - $33/hr

Collaborate with engineers and data scientists to optimize model performance based on annotated data. * Develop and maintain annotation guidelines and best practices. * Provide training data to ...

Handshake

AI Red Teamer, LLM Generalist

Seattle, WA · On-site

$32 - $95/hr

Collaborate with engineers, data scientists, and researchers to share findings and strengthen ... Comfort with structured data annotation and rubric-based scoring * Prior work in trust and safety ...

Amazon

Language Engineer II, Operations Team

Seattle, WA · On-site

$79K - $107K/yr

The Alexa Shopping team is seeking a Language Engineer with experience in the field of Natural ... data analysis using Python or other scripting language - Advocate strict adherence to annotation ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Seattle, WA

Data Annotation Engineer information

See Seattle, WA salary details

$58.6K

$167.9K

$224.3K

How much do data annotation engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data annotation engineer in Seattle, WA is $167,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $223,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Seattle, WA? For Data Annotation Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Seattle, WA look for? The top searched job categories for Data Annotation Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Annotation Engineer jobs? Cities near Seattle, WA with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Human Subjects Research Assistant II

Human Subjects Research Assistant II

Infotech Sourcing

Kirkland, WA

$22 - $30.25/hr

Full-time

Posted 20 days ago

Job description

Human Subjects Research Assistant II

Location: Redmond, WA

Duration: 6+ months

Job Description
Bachelors in the field of psychology (e.g. neuroscience), cognitive science (e.g., artificial intelligence), computer science (e.g., human-computer interaction), engineering (e.g., human-factors), or a closely-related research area preferred
3 years of experience required
Onsite - 5 days per week in Redmond, WA
At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. Our team of researchers is evaluating novel interaction techniques and user interfaces to improve human experiences in the augmented world. We are looking for a motivated Research Assistant to join our team and support the human subject research studies we are conducting.
The chosen candidates will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities. We are specifically looking for candidates with experience in supporting human behavioral experiments.
Responsibilities
Stage, set up, and/or manage equipment and lab spaces to be used for experiments
Conduct experiments which include collection of informed consent, running experiment protocols, handling of confidential data, data annotation, and creation of basic reports
Conduct literature reviews on a wide field of research topics
Assist with recruiting and scheduling of experiment participants
Help with experimental design, documentation, and provide feedback during design
Essential Physical Functions
1) Ability to wear a precision wearable data-collection device on the hand and forearm for extended periods of time. Ability to maintain sustained manual dexterity and fine-motor control while wearing the device.
2) Fit within these hand size measurements:
Minimum hand breadth ≥ 95 mm (measured across the knuckles with fingers extended flat)
Minimum hand length ≥ 195 mm (wrist crease to tip of middle finger)
Required Characteristics:
Strong communication, interpersonal and personal management skills
Bachelors in the field of psychology (e.g. neuroscience), cognitive science (e.g., artificial intelligence), computer science (e.g., human-computer interaction), engineering (e.g., human-factors), or a closely-related research area
Desired Characteristics:
Experience analyzing data and/or designing research protocols
Experience collecting user interaction data and working with related technical equipment (e.g., inertial sensing with IMUs, optical sensing, EMG)
1+ years of experience working in a research environment involving human subjects

Top 3 must-have HARD skills:1) Physical requirement of the role: hand size
Fit within these hand size measurements:
Minimum hand breadth ≥ 95 mm (measured across the knuckles with fingers extended flat)
Minimum hand length ≥ 195 mm (wrist crease to tip of middle finger)
2) Ability to wear a precision wearable data-collection device on the hand and forearm for extended periods of time. Ability to maintain sustained manual dexterity and fine-motor control while wearing the device.Good to have skills:1) Human subjects research experience : Experience analyzing data and/or designing research protocols
2) Experience collecting user interaction data and working with related technical equipment (e.g., inertial sensing with IMUs, optical sensing, EMG)
3) Experience working with computers