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

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Data Annotation Tech information

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$13

$26

$39

How much do data annotation tech jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data annotation tech in Seattle, WA is $26.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $30.91 per hour, depending on experience, location, and employer.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

Is data annotation legit or not?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of AI development projects, making it a valid employment option.
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Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Seattle, WA as of May 2026, with employment types broken down into 50% Full Time, 17% Part Time, and 33% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $54,101 per year, or $26 per hour.
Human Subjects Research Assistant II

Human Subjects Research Assistant II

Infotech Sourcing

Kirkland, WA

$22 - $30.25/hr

Other

Posted 19 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

Apply