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Redaction Jobs in Seattle, WA (NOW HIRING)

Hagens & Berman

Paralegal

Seattle, WA · On-site

$35 - $45/hr

... redaction, production and privilege logs, and ediscovery. * Maintain and search databases. * Work with clients and class members to gather and convey information. * Prepare materials for oral ...

King County, WA

Legislative Clerk - Council

Seattle, WA · On-site

$81K - $109K/yr

... proper redaction in accordance with state law. * Provide and maintain up-to-date documentation on various laws, rules/regulations, policies/procedures as related to functions such as agenda ...

PEMCO

Databricks Architect

Seattle, WA · On-site

Define prompt/response patterns, evaluation frameworks, guardrails (safety filters, PII redaction), offline/online tests, latency/error SLOs, and cost controls. * Build LLMOps on the Lakehouse ...

All JobsRedaction JobsRedaction Jobs in Seattle, WA

Redaction information

How can I make 2000 a week working from home?

Redaction jobs involve reviewing and editing documents to ensure confidentiality and accuracy, often paying per project or hour. To earn $2,000 weekly, one would typically need to work full-time hours at competitive rates, develop strong editing skills, and possibly specialize in legal, medical, or technical redaction to access higher-paying opportunities.

What are some disappearing jobs?

Redaction jobs are increasingly disappearing due to automation and AI tools that can efficiently redact sensitive information in documents. These roles often require manual review, but advancements in technology are reducing the need for human redactors, especially in routine tasks. However, some specialized or complex redaction work still requires human oversight.

What kind of jobs in media bring in $150,000 a year?

High-paying media jobs such as senior editors, media directors, or executive producers can earn $150,000 or more annually, especially with extensive experience, leadership roles, and advanced skills in content management and production. Positions in media management or specialized roles in digital media and broadcasting often require strong industry knowledge and relevant certifications.

What is a Redaction job?

A redaction job involves reviewing and censoring sensitive or confidential information from documents, images, or digital files before they are shared or published. Professionals in this role use specialized tools to remove or obscure personal data, classified details, or legally protected content. Redaction is commonly required in legal, government, healthcare, and corporate settings to ensure compliance with privacy regulations and security standards. Accuracy and attention to detail are crucial, as improper redaction can lead to data breaches or legal risks.

What does a redaction specialist do?

A redaction specialist is responsible for reviewing documents and removing sensitive or confidential information to protect privacy and comply with legal or security requirements. They use tools like Adobe Acrobat or specialized software and must ensure that all sensitive data is thoroughly obscured before documents are shared or published.

What are the typical daily responsibilities of someone working in a redaction role?

A professional working in redaction spends much of their day reviewing documents, identifying sensitive or confidential information, and using specialized software to obscure or remove this data before release or sharing. They often coordinate with legal, compliance, and records management teams to ensure redaction practices meet organizational and regulatory standards. Routine tasks can also include logging redaction activities, preparing reports, and maintaining up-to-date knowledge of relevant privacy laws and guidelines. The role requires careful attention to timelines and accuracy to ensure sensitive information is consistently protected.

What are the key skills and qualifications needed to thrive in the Redaction position, and why are they important?

To excel in redaction roles, strong attention to detail, expertise in privacy laws, and proficiency in reviewing sensitive documents are crucial, often supported by a background in legal, compliance, or information security fields. Familiarity with redaction software, document management systems, and secure file handling is typically required, as well as certifications such as CIPP or security clearance depending on industry. Excellent organizational skills, discretion, and clear communication help professionals succeed when working with confidential information and collaborating with cross-functional teams. These competencies ensure information is accurately protected, maintaining legal compliance and data security across an organization.

What are popular job titles related to Redaction jobs in Seattle, WA? For Redaction jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Redaction jobs in Seattle, WA look for? The top searched job categories for Redaction jobs in Seattle, WA are:
Redaction jobs near you
Infographic showing various Redaction job openings in Seattle, WA as of July 2026, with employment types broken down into 82% Full Time, 13% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Artificial Intelligence Engineer (Seattle)

Factspan

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 2 days ago

New

Job description

Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed.With offices in Seattle, Washington and Bangalore, India;we use a global deliverymodel to serviceour customers. Our customers includeindustry leaders from Retail, Financial Services, Hospitality, and technology sectors.

Key Responsibilities:
  • Architect and implement robust backend services and microservices for AI
  • Design APIs with scalability, reliability, and security in mind.
  • Optimize system performance for high throughput and low latency.
  • Integrate AI/ML models and LLM based applications into production systems
  • Experience in building end to end Gen AI based applications/solutions
  • Collaborate with data scientists to operationalize AI pipelines
  • Implement features for model evaluation, monitoring, and feedback loops.
DevOps & CI/CD
  • Maintain automated pipelines for build, test, and deployment.
  • Ensure compliance with code quality and security standards.
  • Drive end-to-end design, building, and deployment of enhancements using Python,
  • APIs, and Microservices.
Scalability & Performance
  • Design systems for horizontal scaling and fault tolerance.
  • Conduct performance tuning and load testing to ensure optimal resource utilization.
Foundational Services
  • Build reusable frameworks and services that support multiple AI platform
  • Implement secure handling of sensitive data (PHI/PII redaction)
Database & Data Management
  • Work extensively with No SQL databases (Mongo DB, Cosmos DB)
  • Ensure efficient data ingestion and retrieval for AI-driven applications.
Professional Qualifications:
  • Must have good communication and interpersonal skills.
  • Ability to guide the team and deliver as an Individual Contributor without much
  • supervision.
Required Skills:

Strong SQL, Python, and Query Analysis skills are required for this role.

Programming:

frameworks, Java or Go for backend.

Microservices architecture, RESTful APIs, distributed systems. Experience building data

pipelines, APIs, and microservices.

AI/ML Tools:

TensorFlow, PyTorch, LangChain, Vertex AI, LLMs, and general Gen AI/Agentic AI experience.

Agentic AI & Google ADK:

Experience designing and implementing production-grade Agentic AI systems using Google

ADK, including multi-agent workflows, tool-calling, and Model Control Plane (MCP) Server

services (for exposing internal tools/APIs). Google ADK experience is highly preferred.

GCP, Kubernetes, Docker. GCP experience is highly preferred.

Databases:

No SQL databases (Mongo DB, Cosmos DB), SQL, and Big Query experience are highly

preferred.

Performance Optimization:

Profiling, caching strategies, query optimization, and the ability to identify performance

bottlenecks and optimize performance using Gen AI. Observability experience.

Other: Experience with design and support for multiple applications.

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