Avary.ai Logo

Avary.ai

Quality Assurance (QA) Intern

Posted 2 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
Internship
In-Office or Remote
Hiring Remotely in United States
Internship
Assist with manual and regression testing of web-based AI products across frontend, backend, workflows, and AI-generated outputs. Document bugs and edge cases, validate fixes with engineers and product managers, evaluate LLM output quality, and improve QA documentation and processes. The intern will also use AI tools to generate test cases, identify edge scenarios, and support test automation workflows. Training is provided, with opportunities to grow into QA automation or engineering roles.
The summary above was generated by AI

Avary.ai builds AI-powered recruiting products where quality, reliability, and user trust are critical. We’re looking for a QA Intern to help ensure our platform delivers a smooth, accurate, and reliable experience for users.

This role is ideal for someone interested in software quality, testing, automation, and AI-driven systems.

What You’ll Do
  • Assist in testing web-based AI products across different workflows and user scenarios.

  • Execute manual test cases for frontend, backend, and AI-generated outputs.

  • Help identify, document, and track bugs and edge cases clearly.

  • Collaborate with engineers and product managers to validate fixes and new features.

  • Support regression testing before releases.

  • Learn how to evaluate AI outputs (e.g. text quality, consistency, accuracy).

  • Help improve QA documentation, test cases, and testing processes.

AI-First QA Environment (Very Important)

QA at Avary.ai goes beyond traditional testing.

You will learn to:

  • Use AI tools to generate test cases and edge scenarios

  • Evaluate and compare LLM outputs using structured criteria

  • Use AI-assisted tools for test automation ideas and validation

  • Build AI-supported workflows for faster QA cycles

Who We’re Looking For
  • Currently pursuing a degree in Computer Science, Engineering, Information Systems, or related fields.

  • Strong attention to detail and logical thinking.

  • Interest in software testing, QA, or product quality.

  • Ability to clearly document issues and communicate with engineers.

  • Curiosity about AI systems and how to test them effectively.

  • No prior QA experience required—training provided.

Why Join Avary.ai
  • Learn how modern AI products are tested

  • Work closely with engineers and product teams

  • Gain hands-on QA experience in a real startup

  • Opportunity to grow into QA automation or engineering roles

Similar Jobs

2 Hours Ago
Remote
California, USA
99K-133K Annually
Junior
99K-133K Annually
Junior
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Provides sustaining process engineering support for semiconductor solar cell wafer and assembly production. Maintains process control using SPC, troubleshoots equipment and manufacturing anomalies, and drives continuous improvement to reduce cycle time and cost while improving performance. Supports solar technology R&D, process and product development, safety initiatives, and innovative solutions. Requires semiconductor processing experience and collaboration with manufacturing operations teams.
Top Skills: Analytical TechniquesCC++Dry EtchingHigh-Temperature AnnealingLabviewLean PrinciplesMaterial CharacterizationPhotolithographySemiconductor ProcessingSolar Cell AssembliesSolar Cell WafersSQLStatistical Process Control (Spc)Thin-Film DepositionVBAWet Etching
5 Hours Ago
In-Office or Remote
174K-274K Annually
Expert/Leader
174K-274K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Software Engineer leading frontend and full-stack architecture for Atlassian’s Growth Platform. The role defines technical strategy for messaging, personalization, notifications, and experimentation systems; designs scalable microservices, APIs, data models, and React/TypeScript components; drives performance, reliability, security, accessibility, observability, and CI/CD standards; and influences multiple teams through architecture reviews, cross-functional partnership, and mentorship.
Top Skills: APIsAutomated TestingCi/CdClient SdksClient-Side State ManagementCore Web VitalsCSSData ModelingDistributed SystemsDistributed TracingHTML5Javascript Es6+MicroservicesObservabilityReactTelemetryTypescript
5 Hours Ago
In-Office or Remote
Seattle, WA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides organization-wide technical leadership for Atlassian’s Dev AI platforms and autonomous developer initiatives. Defines multi-year architectures for agent runtimes, orchestration engines, execution sandboxes, memory systems, and context retrieval. Drives distributed-system architecture, reliability, security, responsible AI governance, evaluation, and operational standards. Leads cross-organizational technical initiatives, resolves architectural ambiguity, mentors senior engineers, partners with product and engineering leaders, and remains hands-on with strategic prototypes and architectural validation.
Top Skills: Agent OrchestrationAi Evaluation FrameworksArtificial IntelligenceAtlassian Teamwork GraphAutonomous Ai AgentsBitbucketCode IntelligenceCode SynthesisDistributed SystemsJIRAResponsible AiRetrieval SystemsRuntime SandboxesSemantic SearchTelemetry

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account