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Assisted Ai Training Jobs in Bothell, WA (NOW HIRING)

CYNET SYSTEMS

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$70 - $75/hr

... AI-assisted decisions in sensitive privacy workflows. * Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training and inference.

Merican

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

... assisted decisions in sensitive privacy workflows. Data & ML Engineering * Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training ...

Saransh Inc

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

... assisted decisions in sensitive privacy workflows. Data & ML Engineering • Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training ...

Axon

Finance Transformation AI Lead

Seattle, WA

Build AI-enabled solutions using a combination of AI-assisted development tools, automation ... Create lightweight documentation, user guides, and training materials. * Monitor solution ...

Axon

Finance Transformation AI Lead

Seattle, WA · On-site

Build AI-enabled solutions using a combination of AI-assisted development tools, automation ... Create lightweight documentation, user guides, and training materials. * Monitor solution ...

Salesforce, Inc.

AI Delivery Lead

Seattle, WA · On-site

Coach teams on AI-assisted development practices, including prompt engineering, AI pair programming ... Facilitate workshops, training sessions, and demos to build AI literacy and adoption * Partner with ...

Blue Origin

AI Engineer III - Blue Ring

Seattle, WA

$65.50 - $88/hr

... and AI-assisted decision-making that enable a small operations team to manage an entire satellite ... training and deploying time-series ML models on real spacecraft telemetry. Role and ...

Blue Origin, LLC

AI Engineer III - Blue Ring

Seattle, WA · On-site

$65.50 - $88/hr

... and AI-assisted decision-making that enable a small operations team to manage an entire satellite ... training and deploying time-series ML models on real spacecraft telemetry. Role and ...

Aquent

AI Engineer - Machine Learning 3

Redmond, WA · On-site +1

$80 - $90/hr

Hands-on experience with AI-assisted coding and rapid prototyping. * Availability for an 18-month ... We also offer free online training through Aquent Gymnasium. More information on our awesome ...

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All JobsAssisted Ai Training JobsAssisted Ai Training Jobs in Bothell, WA

Assisted Ai Training information

See Bothell, WA salary details

$39.7K

$107.6K

$148.1K

How much do assisted ai training jobs pay per year?

As of Jul 17, 2026, the average yearly pay for assisted ai training in Bothell, WA is $107,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $147,600.00 per year, depending on experience, location, and employer.

What is the difference between Assisted Ai Training vs Data Annotator?

AspectAssisted Ai TrainingData Annotator
Required CredentialsBasic technical skills, understanding of AI conceptsAttention to detail, basic computer skills
Work EnvironmentCollaborative, often remote, with AI development teamsRemote or on-site, focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI and ML models

Assisted Ai Training involves guiding AI systems through training processes, often requiring some technical understanding. Data Annotators focus on labeling and preparing data for AI models. While both roles support AI development, Assisted Ai Training typically involves more technical interaction with AI systems, whereas Data Annotators primarily handle data labeling tasks.

Assisted Ai Training jobs near you
Senior AI Engineer - Privacy

Senior AI Engineer - Privacy

CYNET SYSTEMS

Bellevue, WA • On-site

$70 - $75/hr

Contractor

Re-posted 14 days ago

Job description

Job Overview:

Pay Range: $70/hr - $75/hr

  • The Senior AI Engineer – Privacy will design, build, and operationalize AI and agentic systems that power the data privacy platform at scale.
  • This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations.

Requirement/Must Have:

  • 7 years of experience as an AI Engineer with a focus on privacy.
  • 7 years of experience with Azure Data Factory and Azure.
  • 5 years of experience with Databricks and Snowflake.

Responsibilities:

  • Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain or equivalent.
  • Develop and operationalize retrieval-augmented generation pipelines integrating large language models into production privacy applications.
  • Implement structured prompting, decision workflows, and tool orchestration for autonomous agent systems.
  • Build AI-powered automation for privacy operations including intelligent data subject request routing and automated regulatory notifications.
  • Enable human-in-the-loop controls and escalation paths for AI-assisted decisions in sensitive privacy workflows.
  • Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training and inference.
  • Apply prompt engineering and fine-tuning techniques to adapt foundation models for privacy-specific use cases.
  • Implement vector databases and embedding strategies to power retrieval-augmented generation pipelines over internal privacy knowledge bases.
  • Ensure data quality, lineage, and governance standards are maintained across all AI training and inference pipelines.
  • Deploy and manage AI workloads on Azure or AWS, including serverless inference endpoints and GPU resources.
  • Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps.
  • Implement monitoring, alerting, and performance tracking for production AI models and agent systems.
  • Apply containerization and orchestration to ensure scalable and reliable AI service deployments.
  • Implement responsible AI principles across all AI systems used in privacy operations.
  • Ensure AI-assisted workflows comply with applicable state and federal privacy regulations.
  • Design and maintain audit trails and human-in-the-loop checkpoints for AI decisions affecting consumer privacy rights.
  • Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into AI solution guardrails.
  • Partner with data engineers, full stack engineers, product managers, and privacy stakeholders to deliver end-to-end AI-powered privacy solutions.
  • Mentor junior engineers on AI/ML engineering practices and responsible AI design principles.
  • Produce clear technical documentation and architecture diagrams for AI systems in production.
  • Contribute to internal accelerators and reusable AI component libraries.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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