Top QA Jobs in Portland, OR

Review and classify AI-generated content while ensuring quality assurance. Responsibilities include labeling data and providing feedback on submissions.

As a QA Annotator, you will review data, ensure quality control, label content according to guidelines, and identify inaccuracies in AI-generated material.

As a TMS Compliance QA Analyst IV, you'll conduct audits on transaction monitoring cases, support AML efforts, train analysts, improve procedures, and collaborate across teams to enhance workflows and present findings.

The Vice President, QA Engineer will develop and maintain investment technology, execute tests for back-end systems, and support automated processes while ensuring high-quality deliverables and collaboration with various teams.

The Director of Quality Assurance manages the QA program for Tempus Compass, ensures compliance with GCP and regulatory standards, oversees audits, and collaborates with executive management on quality initiatives.

The Quality Assurance Architect will define and implement Test Data Management strategies, frameworks, and governance models, ensuring solutions are scalable and secure while collaborating with stakeholders.

The Quality Assurance Specialist Sr will ensure high-quality test data delivery across the enterprise, collaborating with teams, addressing data requirements, and supporting test data management processes.

Lead external collaborations for Cell & Gene Therapy projects, managing partnerships and ensuring compliance with regulatory standards while overseeing cross-functional teams.

As a QA Annotator, review AI-generated content for accuracy and quality. Label and classify data, ensuring adherence to guidelines.

As a QA Annotator, review data, ensure quality, and label content based on guidelines for AI training. Opportunity based on active projects.

As a QA Annotator, review and label data, ensure quality control for AI projects, and provide structured feedback on submitted work.

As a QA Annotator, review and label AI-generated content, ensuring quality assurance and identifying inaccuracies based on project guidelines. Work on various online projects when available.

As a QA Annotator, you'll review and assess AI-generated content, ensuring quality through detailed feedback and classification. This project-based role requires advanced language skills and attention to detail.

As a Freelance Quality Assurance Annotator, you'll review AI-generated content for quality assurance, analyze data, and classify materials while ensuring accuracy and adherence to guidelines.

The Marketing Print Manager will oversee production activities for clients, manage vendors, ensure budgets align, and maintain quality standards in campaigns.

The AI Compliance Specialist will review AI-generated call transcripts for quality and compliance, analyze call data, and collaborate with teams to enhance AI accuracy in a financial services context.

The Director of Software Engineering leads a technical team in creating enterprise applications, ensuring quality and alignment with business strategies, and managing operational processes.

Lead product quality assurance processes, overseeing software development lifecycle and customer satisfaction while managing teams and technology solutions.

As a QA Annotator, you will review data, ensure quality, label content, and provide feedback on AI-generated output in project-based work.

As a QA Annotator, you'll review data, ensure quality control, label content, and identify incorrect or inappropriate material for AI projects.

As a QA Annotator, review data, ensure quality assurance, label content, and identify inaccuracies in AI-generated materials for ongoing projects.

As a QA Annotator, you will review, label, and classify data related to AI projects, ensuring quality control and evaluating accuracy.

As a QA Annotator, you will review data, ensure quality control, label content, and flag inaccuracies for AI training projects.

The role involves reviewing AI-generated content, ensuring quality control, and labeling data for generative AI projects, requiring advanced French and English skills.

As a QA Annotator, you will review data, ensure quality control, label content, and flag inaccuracies, contributing to AI projects.