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

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Data Annotation Services information

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What are the key skills and qualifications needed to thrive in data annotation services?

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

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

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

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

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

Data Annotation Services jobs near you

Senior Organizational Development Consultant

Trunk Tools

Redmond, WA

Full-time

Posted 2 days ago

New

Job description

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

The Senior Organizational Development Consultant will lead a large cross-functional project to put foundational talent management frameworks in place for a global high-growth AI and Data Services business. Reporting to the CHRO, this role partners with senior leadership to architect the structures and frameworks that will underpin future talent management and organizational development strategies that will enable the company to scale with speed and precision.

KEY RESPONSIBILITIES

Organizational Design & Development

  • Partner with global cross-functional HR and Business leaders to implement and operationalize a global leveling framework using the Radford job leveling structure.
  • Establish a global workforce planning framework to help define talent placement strategies to support business objectives including focus areas such as employee type, regional placement, management structures, and operational governance.
  • Partner with business and HR leaders to evaluate and establish organizational design principles related to spans & layers, team design & makeup, and reporting structure in a global, matrixed organization to clarify roles and accountabilities as the company scales.

QUALIFICATIONS

Required

  • 12+ years of progressive OD, HR, or talent experience, with at least 3 years in a senior
  • Experience leading large cross-functional projects including planning, & timelines, stakeholder management, establishing success measures, and status updates.
  • Experience implementing job leveling frameworks with a comprehensive understanding of upstream and downstream implications.
  • Demonstrated expertise in two or more of: organizational design, change management, talent management, or L&D program development.
  • Experience leading global, cross functional projects
  • Proven ability to influence senior stakeholders and translate business strategy into people and organizational interventions.
  • Strong data fluency - comfortable designing measurement frameworks, interpreting analytics, and making evidence-based recommendations.

Preferred

  • Bachelor's or Master's degree in Organizational Psychology, Business, HR, or a related field.
  • Certification in change management (Prosci, ACMP) or coaching (ICF).
  • Experience leading OD in a scaling or post-Series C/D venture-backed or publicly traded tech company.
  • Familiarity with AI/ML workflows, data annotation, or data services business models.
  • Experience selecting and implementing talent tech platforms (HCM, LMS/LXP, succession tools).
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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