G2i Logo

G2i

Java AI Data Training Tech Quality Lead (US-only)

Reposted 17 Days Ago
In-Office or Remote
30 Locations
50-100 Hourly
Senior level
In-Office or Remote
30 Locations
50-100 Hourly
Senior level
Responsible for ensuring high standards in AI data training through hands-on Java expertise, QA, technical evaluations, and contributor support.
The summary above was generated by AI

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.

Top Skills

Ai Data Training
Java
Quality Assurance

Similar Jobs

A Minute Ago
Remote or Hybrid
Austin, TX, USA
150K-185K Annually
Senior level
150K-185K Annually
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
The Director of Channel Marketing will develop and scale channel marketing strategies, manage a team, and drive partner engagement and revenue growth with collaborative initiatives in a SaaS environment.
Top Skills: SaaS
A Minute Ago
In-Office or Remote
Bountiful, UT, USA
55K-88K Annually
Mid level
55K-88K Annually
Mid level
Manufacturing
The Luxury Sales Manager drives sales for The House of Rohl product portfolio, focusing on customer relationships, business development, and achieving sales targets.
Top Skills: MS Office
A Minute Ago
Remote or Hybrid
Austin, TX, USA
Entry level
Entry level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
As a Sales Development Representative, you'll research potential clients, connect and educate prospects, and qualify leads through cold outreach and market knowledge.
Top Skills: It Management SoftwareSalesforceSalesloft

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account