Java AI Data Training Tech Quality Lead (US-only)
Role Overview
This senior-level role involves leading quality assurance for Java AI data training projects, including conducting code reviews, performing technical evaluations, and supporting trainers and QAs. Day-to-day tasks focus on maintaining high-quality Java content, creating documentation, and onboarding new team members to ensure effective AI training processes. The hire will impact project accuracy and workflow efficiency through hands-on expertise and guidance.
Perks & Benefits
The job offers a fully remote setup with flexible hours, likely accommodating various time zones given the async communication via Discord. Compensation is personalized based on experience, education, and location, with rates re-evaluated for career growth. The role emphasizes independent work and high-quality standards, fostering a collaborative culture through regular feedback and training sessions.
Full Job Description
Contract | Remote | $50–$100/hr | Middle to Senior Level
Role Overview
We are seeking a Java Tech Quality Assurance Lead to ensure consistently high standards across our AI data training projects. This role blends hands-on Java expertise with quality assurance, technical evaluation, and contributor support. You will help maintain high-quality Java content, guide trainers and QAs, and contribute to the effectiveness and accuracy of our AI training processes.
Key Responsibilities
Conduct regular code quality reviews of Java solutions, assessing correctness, clarity, structure, code style, and maintainability. Provide constructive feedback and escalate critical issues when needed.
Perform technical evaluations focused on algorithmic soundness, performance considerations, best practices, and alignment with project guidelines.
Maintain clear communication with trainers and QAs via Discord—sharing updates, clarifying expectations, answering questions, and ensuring a smooth workflow.
Monitor contributor activity and manage activation outreach, helping identify blockers and encouraging re-engagement.
Create and maintain documentation, including coding guidelines, checklists, example solutions, trackers, FAQs, and related resources.
Lead onboarding and training sessions for new trainers and QAs, covering Java quality standards, common issues, and review expectations.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
7+ years of professional Java experience with strong expertise in code quality, debugging, design approaches, and maintainability.
Previous experience with LLM training, AI data annotation, or QA roles is preferred.
C1-level English proficiency for documentation and async communication.
Strong analytical and problem-solving skills, with the ability to evaluate different approaches and identify root causes.
High attention to detail and ability to deliver high-quality work independently.
Compensation
Hourly rates are personalized based on your experience level, educational background, location, and industry expertise. You’ll see your specific rate in your contract offer before signing. Rates for technical roles can vary significantly based on these factors and can be re-evaluated for different projects based on your performance and experience.
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