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

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Data Annotation Manager information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do data annotation manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data annotation manager in Seattle, WA is $110,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a data annotation manager?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Seattle, WA?

The most popular types of Data Annotation jobs in Seattle, WA are:

What are popular job titles related to Data Annotation Manager jobs in Seattle, WA?

For Data Annotation Manager jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Annotation Manager jobs in Seattle, WA look for?

The top searched job categories for Data Annotation Manager jobs in Seattle, WA are:

Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $110,552 per year, or $53.1 per hour.

Human Subjects Research Assistant II

Infotech Sourcing

Kirkland, WA

$22 - $30.25/hr

Full-time

Re-posted 5 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

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