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Full Time Data Annotation Jobs in Seattle, WA (NOW HIRING)

Cyborg Mobile

Data & AI Program Manager

Redmond, WA · On-site +1

This is a full-time position (W2 or 1099 is fine). You would be employed by Cyborg Mobile but ... Design judgment guidelines and instructions for data annotation, validation, and quality control

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Full Time Data Annotation information

What is the difference between Full Time Data Annotation vs Data Labeling Specialist?

AspectFull Time Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma; training in labeling tools often provided
Work EnvironmentOffice or remote; part of a larger data teamPrimarily remote or on-site; focused on labeling tasks
Industry UsageTech, AI, autonomous vehicles, healthcareAI, machine learning, computer vision projects
Search & Comparison IntentUnderstanding full-time roles in data annotationLooking for specialized labeling positions

Full Time Data Annotation involves comprehensive responsibilities within a team, often requiring a broader understanding of data processes. Data Labeling Specialists focus specifically on labeling data accurately for AI and machine learning models. Both roles are essential in AI development, but Full Time Data Annotation roles typically encompass more tasks and collaboration, whereas Data Labeling Specialists concentrate on precise data tagging.

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 Full Time Data Annotation jobs in Seattle, WA?

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

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

Full Time Data Annotation jobs near you
Infographic showing various Full Time Data Annotation job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data & AI Program Manager

Redmond, WA • On-site, Remote

Cyborg Mobile
Business Management Consulting • 11 - 50 employees
Learn more about Cyborg Mobileexternal

Full-time

Posted 4 days ago

Job description

About the Role
We're hiring a Data & AI Program Manager to support a Fortune 100 technology company. This role sits at the intersection of data strategy and applied machine learning, owning the end-to-end data lifecycle that fuels natural language processing (NLP) applications and large language model (LLM) development. You'll define what "good data" looks like for a range of NLP use cases, build the guidelines and pipelines to get there, and partner closely with data engineering, data science, and ML teams to turn high-quality annotated data into measurable model performance gains.
This is a full-time position (W2 or 1099 is fine). You would be employed by Cyborg Mobile but placed with our client working full-time there and reporting to a manager there. We're looking for someone who is a self-starter, self-sufficient, and able to execute with little direction. This is a remote position (Washington candidates preferred).
What You'll Do
  • Conduct market and user research to understand data needs and expectations across various NLP applications and domains
  • Define data specifications, scope, and sourcing strategy for each use case and domain
  • Design judgment guidelines and instructions for data annotation, validation, and quality control
  • Deliver datasets, schemas, guidelines, and annotations that meet approved specifications, scope, and sourcing requirements
  • Manage the end-to-end data annotation process
  • Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations
  • Implement approved data quality improvement actions
  • Collaborate with client data engineers, data scientists, and machine learning engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and evaluate model performance and impact
  • Identify data gaps and opportunities; propose new data sources, methods, and features to improve data quality and model outcomes
  • Communicate data vision, strategy, and results to internal and external stakeholders, including product owners, engineers, researchers, customers, and partners
  • Prepare and deliver data reports, presentations, and demos using client-approved formats and channels
What We're Looking For
  • Experience in NLP data strategy, annotation program management, or a related data quality/linguistics role
  • Strong understanding of data annotation workflows, guideline design, and inter-annotator quality control
  • Familiarity with LLM training/fine-tuning pipelines and how annotated data feeds model evaluation
  • Analytical mindset with the ability to translate quality metrics into concrete improvement plans
  • Excellent stakeholder communication skills - comfortable presenting to both technical and non-technical audiences
  • Experience working in large, matrixed corporate environments
Must Haves
  • Customer centric
  • Good with follow through
  • Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot

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