Role Description Audit and evaluate richly detailed personas, digital environments, and tasks created by AI Training Scenario Designers. Ensure they are logically sound and properly structured. - Apply strict rubrics to score scenarios objectively. Ensure tasks challenge an AI agent's ability to reason, filter, and prioritize without being broken or impossible. - Identify logical inconsistencies, factual errors, missing context, and technical flaws such as invalid JSON structures within simulated environments. - Provide clear, constructive, and actionable feedback to scenario designers. Help refine their worlds and improve overall output. - Document outcomes by logging review outcomes, scores, and feedback clearly in Airtable and Crucible. Qualifications - Must-Have: Undergrad degree - 2+ years professional experience - Preferred: Editing / QA background — Senior editor, QA tester, technical reviewer, compliance auditor, or peer-reviewer. - Technical / data comfort — JSON familiarity, Jira/Asana power user, data analyst, SQL/Python exposure. - Process & Systems thinking — Operations managers, technical PMs, or systems designers with a strong understanding of complex workflows. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Description The purpose of this position is to ensure that acute hospital admissions have the appropriate level of care, patient status, plan of care, and meet medical necessity for an acute hospitalization. This role monitors that the patient is progressing in their plan of care and meets medical necessity for continued stay. This role ensures that the patient's payer has the clinical information with which to authorize an acute hospital stay and the continued stay services to include covered days and associated services. Qualifications - Graduate of an accredited nursing school - Required - Bachelor’s Degree of Science in Nursing - Preferred - Master’s degree - Preferred - 2 years of experience in an acute, post-acute or payer setting - Required - 3 years of utilization review or care management experience - Preferred - RN - Registered Nurse - Georgia State Licensure and/or NLC/eNCL Multistate Licensure - Required Company Description Join Piedmont to move your career in the right direction. Stay for the diverse teams you’ll love, a shared purpose, and schedule flexibility that frees you to live for what matters both in and outside of work. You’ll feel valued, motivated to be your best, and recognized for your contributions to exceptional patient outcomes. Piedmont leaders are in your corner, invested in your success. Our wellness programs and comprehensive total benefits and rewards meet your needs today and help you plan for the future.

Role Description Are you passionate about solving problems and delivering next-generation software to enhance the Internet experience? Join a global leader creating software for broadband service providers. We are seeking a QA Software Engineer in British Columbia or Ontario, Canada who thrives in a fast-paced global team environment. In this role, you will take ownership of quality across complex, distributed systems. This role goes beyond test execution — you will: - Shape test strategy - Drive automation maturity - Serve as a quality advocate across multiple engineering teams You will work directly with our data, ML, and platform engineering squads to validate systems that handle high-throughput event streaming, workflow orchestration, observability pipelines, and ML inference at scale. This is an ideal opportunity for a quality-minded engineer who has solid automation fundamentals and wants to grow into end-to-end ownership of CI/CD quality gates, performance benchmarking, and cross-functional test leadership. This is a fully remote role, with the candidate working out of their home office in BC or ON, Canada. The salary range for this position is $65-$78,000 CAD. Qualifications - 3–5 years of hands-on software quality engineering experience in a professional software development environment. - Strong Java programming skills, including object-oriented design, concurrency, and debugging in Linux/Unix environments. - Proficiency in Python for test scripting, data validation, tooling, and automation workflows. - Demonstrated experience owning automated test suites with JUnit, Playwright, or equivalent frameworks. - Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar). - Experience with Docker — building images, managing containers, and running tests in containerized environments. - Solid understanding of TCP/IP networking, distributed systems concepts, and multi-tiered application architectures. - Experience designing and executing performance or load tests and analyzing results (latency, throughput, resource utilization). - Experience with UI/E2E testing methodologies and tooling. - Experience working with NoSQL or columnar databases (MongoDB, ClickhouseDB, or similar). - Strong analytical thinking — able to decompose complex systems into testable components and articulate risk clearly. - Excellent communication skills in English (written and verbal); able to document test strategies and communicate findings to both technical and non-technical audiences. - Ability to work autonomously, prioritize across competing demands, and proactively unblock others. Requirements - Design, implement, and own automated test suites using JUnit and Playwright, across API, UI, and integration layers. - Architect reusable, maintainable test frameworks that scale across multiple services and repositories. - Lead continuous refactoring of test code to improve coverage, reliability, and execution speed. - Collaborate with developers during design and code review phases to embed quality earlier in the development cycle. - Define test coverage standards and gap analyses for new features and architectural changes. - Mentor junior QA engineers on test design patterns, tooling, and best practices. - Own and maintain QA stages within CI/CD pipelines (Jenkins, GitHub Actions, or equivalent). - Design quality gates that enforce test pass rates, coverage thresholds, and static analysis requirements before merges and deployments. - Integrate automated test suites into build pipelines across multiple environments (dev, staging, production-mirror). - Implement parallel and distributed test execution strategies to minimize pipeline latency. - Monitor build health, triaging flaky tests, and driving resolutions to maintain pipeline integrity. - Collaborate with DevOps and platform teams to improve deployment confidence and rollback safety. - Design and execute performance, load, and stress tests for distributed systems, APIs, and data pipelines. - Instrument performance test environments using containerized infrastructure for reproducibility across environments. - Define and track SLIs/SLOs (latency, throughput, error rate) and validate systems against them under realistic load conditions. - Build and maintain Grafana dashboards to visualize performance test results, resource utilization, and trend analysis over time. - Test Kafka consumer/producer throughput, partition lag, and failure recovery behaviours under simulated load. - Profile and identify bottlenecks in workflow orchestration pipelines (e.g., Airflow, Prefect, or Argo Workflows), providing data-driven optimization recommendations. - Ensure performance test suites are integrated into CI/CD pipelines and execute on a scheduled or per-release basis. - Build and maintain robust UI test suites using Playwright, covering critical user workflows and regression scenarios. - Implement cross-browser and cross-platform UI test strategies, running tests within Dockerized environments. - Design visual regression tests to catch unintended UI changes across releases. - Integrate E2E UI tests into CI pipelines with appropriate environment staging and teardown logic. - Collaborate with frontend and product teams to define acceptance criteria and translate them into automated scenarios. - Develop test strategies for event-driven architectures built on Kafka, validating message ordering, delivery guarantees, and schema contracts. - Test data integrity across heterogeneous storage systems including MongoDB, ClickhouseDB, and streaming stores. - Design and execute validation frameworks for ML model outputs, evaluating accuracy, consistency, drift detection, and edge-case behaviour across diverse data types and sources. - Build observability into test pipelines — emit structured metrics and logs that integrate with Grafana and alerting systems. - Validate networking behaviour and protocol compliance (TCP/IP, TR-069, SNMP) for broadband and CPE device management features. - Build and maintain Docker images for test environments, encapsulating dependencies, browsers, and test tooling. - Manage Ansible playbooks and roles for provisioning repeatable test environments at scale. - Contribute to cloud-based (AWS, GCP) test infrastructure, including ephemeral environments for isolated test runs. - Own test environment reliability — proactively identify and resolve environment-caused failures versus product defects. Benefits - Fully remote work environment. - Competitive salary range of $65-$78,000 CAD. Company Description We have been growing since 1992 and now work with some of the top service providers worldwide to deliver solutions that are innovative, creative, and make life easier for millions of subscribers.

• Manage and mentor a team of QA Analysts, supporting professional development, coaching, and performance management. • Develop and drive testing strategies that align with QA Center of Excellence standards and project goals. • Allocate QA resources across projects to ensure testing timelines and quality expectations are met. • Partner with QA Leads, IT teams, and business stakeholders to support successful project delivery. • Monitor project risks, testing progress, and budget impacts, taking action to resolve issues proactively. • Identify opportunities for test automation and collaborate with Automation QA teams to improve efficiency. • Maintain accurate defect tracking and communicate testing results to project teams and leadership. • Ensure testing activities comply with regulatory requirements, risk standards, and internal policies.