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

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ... management, or strategic finance. * Experience preparing investment memos, valuation analyses ...

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ... management, or strategic finance. * Experience preparing investment memos, valuation analyses ...

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

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Showing results 1-20

All JobsAi Annotation JobsManager Ai Annotation JobsManager Ai Annotation Jobs in Seattle, WA

Manager Ai Annotation information

See Seattle, WA salary details

$40.4K

$116.4K

$187.8K

How much do manager ai annotation jobs pay per year?

As of Aug 28, 2026, the average yearly pay for manager ai annotation in Seattle, WA is $116,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $146,800.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Annotation vs Data Annotator?

AspectManager Ai AnnotationData Annotator
Required CredentialsBachelor's degree in related field, experience in AI projectsHigh school diploma or equivalent, on-the-job training
Work EnvironmentTeam management, project oversight, collaboration with data scientistsData labeling tasks, working with annotation tools
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding managerial roles in AI annotationEntry-level annotation tasks

The main difference between Manager Ai Annotation and Data Annotator lies in their responsibilities and experience. Managers oversee annotation projects, coordinate teams, and ensure quality, requiring leadership skills and experience. Data Annotators focus on labeling data accurately under supervision. Managers typically have higher credentials and work in strategic roles, while annotators perform the hands-on labeling tasks essential for AI training.

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

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

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

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

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

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

Manager Ai Annotation jobs near you

Senior Technical Program Manager (AI/ML)

MDAEdge

Seattle, WA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
MDAEdge is seeking a Technical Program Manager to lead data annotation programs for AI research. This role combines program management, data operations, and AI/ML to deliver scalable, high-quality data labeling aligned with research and product needs.
Responsibilities:
• Drive end-to-end data annotation programs, including scoping, delivery, and post-mortem analysis.
• Collaborate with AI research leaders, researchers, data scientists, ML engineers, and product managers to define data needs, metrics, and guidelines.
• Manage vendors and internal teams, handling contracts, SLAs, quality standards, and throughput.
• Design quality control pipelines, annotation tools, and feedback loops for scalable data quality.
• Partner with engineering to enhance annotation infrastructure, workflows, and data pipelines.
• Support data governance, including privacy, security, ethics, and compliance.
• Track metrics like cost, quality, speed, and volume; report progress to stakeholders.
• Coordinate internal adoption of AI products via onboarding, workflows, and change management.
• Standardize processes to measure, monitor, and improve data quality across teams and datasets.
• Engage customers and partners in workshops, pilots, and feedback for continuous improvement.
Qualifications:
Required:
• Bachelor's or Master's in Computer Science, Data Science, Machine Learning, Information Systems, or equivalent experience.
• 7+ years in technical program management, project management, or operations in data/AI/ML environments.
• Strong knowledge of ML workflows, data pipelines, and annotation lifecycles.
• Experience leading large-scale data labeling or collection with third-party vendors.
• Familiarity with big data platforms and data warehousing.
• Advanced SQL skills for analytics, tracking, forecasting, visualization, reports, and dashboards.
• Proven ability to perform root cause analysis on data and processes for business insights.
• Excellent organizational, problem-solving, communication, negotiation, and analytical skills.
• Experience documenting standard operating procedures.
• Ability to influence cross-functional teams and deliver complex projects on time with high quality.
• Self-motivated; thrives independently and in teams.
Preferred:
• Knowledge of GPU technology in generative AI/ML.
• Familiarity with Apache Spark, Delta Lake, MLflow.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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