Remote Java QA Lead for Code Review & Training

Joinkeywork; United States; A distancia; USD 55.000 - 96.000; A tiempo parcial

Descripción de la vacante

Joinkeywork is seeking a Java Quality Assurance Lead (QAL) for an hourly, remote contractor role to oversee quality across Java AI training projects. You will review AI-generated Java code and trainer/QA work, provide precise written feedback, and ensure contributors follow project guidelines.

You will assess code for correctness, design, API usage, security, performance, and test coverage, while coordinating with remote teams and maintaining Java style guides and rubrics.

Formación

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or equivalent professional software engineering experience.
• Strong grasp of English to follow guidelines, communicate with teams, and provide clear technical feedback.
• 3+ years of professional experience in Java development, backend engineering, enterprise software, JVM systems, code review, software QA, or technical mentoring.
• Strong understanding of Java fundamentals such as OOP, collections, generics, streams, lambdas, exceptions, concurrency, annotations, JVM behavior, memory management, modules/packages, and modern Java features.
• Ability to evaluate Java content against detailed rubrics and identify issues such as non-compilable code, incorrect logic, poor exception handling, unsafe concurrency, weak object modeling, inefficient algorithms, hallucinated APIs, or incomplete explanations.
• Familiarity with common Java ecosystems and tools such as Spring Boot, Maven, Gradle, JUnit, Mockito, Hibernate/JPA, REST APIs, JDBC, IntelliJ/Eclipse, Docker, GitHub, CI/CD, logging, and profiling tools is preferred.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, coding mentors, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
• Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.
• Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review is a strong plus.

Responsabilidades

• Quality monitoring: Spot-check Java items, identify quality issues, provide feedback through DMs, and elevate recurring or critical issues.
• Code review: Evaluate AI-generated Java code, Spring/backend snippets, debugging responses, algorithmic solutions, tests, architecture explanations, and step-by-step reasoning.
• Trainer and QA communication: Update contributors on Discord about guideline changes, workflow updates, and Java-specific review standards.
• Question handling: Respond to questions around Java syntax, OOP design, collections, streams, concurrency, exceptions, Spring Boot, testing, security, and rubric interpretation.
• Trainer/QA activation management: DM inactive contributors, track follow-ups, and flag availability issues.
• Documentation: Create and maintain Java style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Run onboarding/training calls for Java contributors.
• Risk and security review: Flag insecure, misleading, non-compilable, inefficient, or non-production-ready Java recommendations.
• Process improvement: Identify recurring quality gaps and improve QA workflows.

Conocimientos

Java development

Code review

QA/testing

Remote team leadership

English communication

Educación

Bachelor’s or Master’s degree in Computer Science/Software Engineering/IT

Herramientas

Spring Boot

Maven

Gradle

JUnit

Mockito

Hibernate/JPA

REST APIs

Docker

GitHub/CI/CD

Descripción del empleo

Joinkeywork is seeking a Java Quality Assurance Lead (QAL) for an hourly, remote contractor role to oversee quality across Java AI training projects. You will review AI-generated Java code and trainer/QA work, provide precise written feedback, and ensure contributors follow project guidelines.

You will assess code for correctness, design, API usage, security, performance, and test coverage, while coordinating with remote teams and maintaining Java style guides and rubrics.