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

LVT

Staff Data Engineer

Seattle, WA

Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ... formal management not required). * Education: Bachelor's or Master's in Computer Science ...

Apple Inc.

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... code management, and query performance optimization * Mastery in SQL‑based languages, and ...

LVT

Staff Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ... formal management not required). * Education: Bachelor's or Master's in Computer Science ...

LVT

Staff Data Engineer

Seattle, WA

$130K - $156K/yr

Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ... formal management not required). * Education: Bachelor's or Master's in Computer Science ...

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

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 12, 2026, the average yearly pay for data annotation manager in Seattle, WA is $110,553.00, 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 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 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 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 $110,553 per year, or $53.2 per hour.

Mpathic | Human Data Operations Manager

EarlyStage Partners

Seattle, WA • On-site

$75K - $110K/yr

Full-time

Medical, PTO

Re-posted 10 hours ago

Job description

Keeping the human in AI. mpathic is a trusted leader in AI Safety offering human services in red teaming, trust & safety, central rating and monitoring for clinical trials and expert data annotation for LLM builders. Our reviewers have specialization in behavioral analysis, conversational design, mental health, psychiatry, social services and clinical trial settings.
We are a Series A VC-backed start-up with notable investors including Foundry.vc and Next Frontier Capital.
We are looking for someone who loves people, operations, and building a company. The Human Data Operations Manager will own the recruitment and onboarding and management of our expert pool for client projects. This role provides support and maintains relationships with our experts. Since we are a startup, we also expect that this role will take an outsized role in building how we manage and grow our expert pool. This role reports to the VP of Clinical AI.
About You:
  • You want to continuously learn and make systems and processes better and better.
  • You are willing to roll up your sleeves, pick up the phone and problem solve to ensure that day-to-day operations hum smoothly.
  • You have excellent communication and relationship-building skills.
  • You may have a background in Human Resources (HR) or People or Operations, and you see a path to becoming a HR Business Partner or a leader in Business Operations.
  • You are excited to work in a fast-paced environment (we are an early stage startup!) and you are motivated, growth-minded and have the resilience to meet ambitious targets
  • You have at least 2-4 years experience in a recruiting, HR, or operations role.
  • You are based in and around Seattle, Washington.

Core Responsibilities:
  • Source & recruit experts: Sources new applicants based on gaps in our expert pool, often under tight deadlines
  • Manage talent pipelines: Reviews expert applications, conducts interviews, negotiates hourly rate with new experts
  • Manage recruiting materials: Works with Marketing to publish externally facing recruitment materials to drive growth
  • Own expert onboarding: Ensures new experts have signed appropriate documents, completed relevant training requirements, and serve as the communication point of contact
  • Build relationships: Engages and maintains strong connections with experts to ensure long-term collaboration
  • Collaborate with Finance: Approves expert hours for client invoicing and payments
  • Collaborates across the Human Data team as key person to ensure high quality delivery

Life at mpathic:
Prioritizing Work-Life Balance
As a remote-first company, we emphasize work-life balance. In-person retreats, flexible work location policies, other benefits such as 100% funded healthcare benefits, flexible-managed PTO, training and education funding, are all part of life at mpathic.
At mpathic, we respect the whole person, acknowledging that quality benefits support a thriving workforce. Leading in the integration of AI with human communication, our efforts are centered on cultivating genuine connections, nurturing trust and facilitating collaborative success.
mpathic is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristics protected by law. We welcome applicants from all backgrounds to join our team.
Compensation:
Base Pay + Equity + Benefits
A reasonable estimate of the base pay range for this role is $75,000-110,000. Any offered base pay is based on a wide array of factors including but not limited to skillset, experience, training, location, scope of role, management responsibility, etc.
Following our Equal Pay Commitment, we have salary banding and established vesting schedules for equity.
We're excited to meet you!

Apply