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Web Developer for Training AI Data - Job Opportunity at G2i Inc.

Dublin, Ireland
Contract
Mid-level
Posted: June 5, 2025
Remote
USD 30-50 per hour

Benefits

Flexible scheduling with ability to set your own hours and take extended breaks without time tracking constraints
Weekly payment structure providing consistent cash flow based on platform engagement time
No upper limit on working hours allowing unlimited earning potential for motivated developers
Long-term contract stability with expected 2-year project duration providing job security
100% remote work arrangement eliminating commute costs and providing geographic flexibility
Access to cutting-edge AI/LLM technology and training in emerging market segments
Professional development through exposure to advanced generative AI model training processes

Key Responsibilities

Drive AI model performance improvements by conducting comprehensive quality evaluations of AI-generated code and providing detailed human-readable rationale that directly impacts model training outcomes
Architect and assess modern React components, hooks, and JavaScript solutions that serve as benchmarks for AI learning algorithms in frontend development
Solve complex coding challenges while creating functional and efficient JavaScript/React implementations that become training standards for next-generation AI systems
Develop comprehensive test case frameworks to validate code efficiency and effectiveness, establishing quality standards that influence AI model reliability
Create detailed instructional documentation and conduct thorough code reviews that become part of the AI training dataset, directly shaping how future models approach problem-solving
Lead diverse project initiatives ranging from code snippet evaluation to full mobile application development using chatbot integration, demonstrating versatility in AI-assisted development workflows

Requirements

Education

Bachelor's or Master's degree in Computer Science preferred but not required

Experience

3+ years of experience in a software engineering/software development role

Required Skills

Strong proficiency with JavaScript/React and frontend development Complete fluency in the English language Ability to articulate complex technical concepts clearly and engagingly Excellent attention to detail and ability to maintain consistency in writing Solid understanding of grammar, punctuation, and style guidelines Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular) Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress) Knowledge of state management solutions (Redux, Context API, MobX) Experience with TypeScript and modern frontend tooling Proven analytical skills with an ability to approach problems creatively Adept communication skills, especially when understanding and discussing project requirements
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Sauge AI Market Intelligence

Industry Trends

The AI training data market is experiencing unprecedented growth with companies investing billions in Large Language Model development, creating massive demand for skilled developers who can create high-quality training datasets. This represents a fundamental shift in how software development skills are being monetized, with traditional coding expertise now being valuable for AI model improvement rather than just application development. Reinforcement Learning from Human Feedback (RLHF) has become the gold standard for training advanced AI models, with companies like OpenAI, Anthropic, and Google requiring thousands of hours of human expert evaluation to improve model performance. This has created an entirely new job category where experienced developers can leverage their existing skills in AI training rather than traditional software development. The frontend development landscape is being revolutionized by AI coding assistants, with tools like GitHub Copilot, ChatGPT, and Claude becoming integral to development workflows. This has created demand for developers who can train these models to write better code, representing a meta-level application of programming skills. Remote work has become permanently established in the tech industry, with AI training roles being particularly suited to distributed work arrangements due to their project-based nature and flexible scheduling requirements. This has opened global talent pools and created opportunities for developers in emerging markets to work with leading AI companies.

Salary Evaluation

The hourly rate of $30-50 represents competitive compensation in the AI training space, potentially translating to $62,400-$104,000 annually for full-time engagement. This rate is particularly attractive given the flexible scheduling and remote nature, often exceeding traditional software development roles when factoring in the elimination of commute time and office-related expenses. The upper end of this range is comparable to senior developer salaries in many markets while offering significantly more flexibility.

Role Significance

Based on the 200+ open positions and project-based structure, teams likely operate in small, specialized groups of 3-5 developers working on specific AI training initiatives, with loose coordination across the broader network of contractors. This structure provides collaboration opportunities while maintaining the flexibility of independent work.
This role represents a unique hybrid position that combines mid-level technical development skills with emerging AI training expertise. While requiring only 3+ years of traditional development experience, the role offers exposure to cutting-edge AI technology that positions professionals at the forefront of industry transformation. The responsibility for directly influencing AI model performance elevates this beyond typical development work.

Key Projects

Large Language Model fine-tuning for code generation capabilities, working directly with models that will be used by millions of developers worldwide React component library development that serves as training standards for AI systems learning frontend development patterns Mobile application development using AI chatbot integration, representing the cutting edge of human-AI collaborative development Comprehensive code evaluation systems that establish quality benchmarks for AI-generated solutions across multiple programming paradigms

Success Factors

Ability to think meta-cognitively about code quality and articulate the reasoning behind good programming practices, as this directly translates to better AI training data and model performance improvements Strong written communication skills combined with technical expertise, enabling the creation of clear, comprehensive explanations that help AI models understand not just what good code looks like, but why it's good Adaptability to work with constantly evolving AI systems and changing project requirements, as the field of AI training is rapidly advancing with new techniques and approaches being developed regularly Self-motivation and time management capabilities essential for remote contract work, particularly important given the flexible scheduling and project-based compensation structure Curiosity about AI and machine learning principles, while not requiring deep technical ML knowledge, understanding the broader context of how training data influences model behavior enhances effectiveness in the role

Market Demand

Extremely high demand with over 200 open positions at this single company indicating massive market need. The AI training data market is projected to grow at 25%+ annually through 2028, with particular demand for developers who can create training data for code generation models.

Important Skills

Critical Skills

JavaScript and React proficiency forms the foundation of the role since these are the primary technologies being used to train AI models for frontend development. Deep understanding of modern JavaScript patterns, React hooks, component architecture, and state management is essential because the quality of training data directly depends on the developer's ability to create and evaluate sophisticated frontend solutions. Technical communication and documentation skills are absolutely critical because the primary deliverable is not just working code, but clear explanations of why code is good or bad. The ability to articulate complex technical concepts in written form directly impacts the AI model's learning process and determines the effectiveness of the training data being created. Code evaluation and review capabilities represent a meta-skill that goes beyond basic programming competency. Developers must be able to assess not just whether code works, but whether it represents best practices, is maintainable, scalable, and follows modern development patterns. This analytical capability is what distinguishes effective AI trainers from regular developers.

Beneficial Skills

TypeScript experience is increasingly valuable as more companies adopt type-safe development practices, and AI models trained on TypeScript code will be more valuable to enterprise clients who prioritize code safety and maintainability Testing framework knowledge (Jest, Cypress, React Testing Library) becomes important because comprehensive testing is a hallmark of professional development, and AI models need to learn not just how to write code, but how to write testable, reliable code Experience with modern development tooling and frameworks (Next.js, build tools, deployment pipelines) provides broader context for creating training data that reflects real-world development practices rather than academic examples Understanding of software architecture principles and design patterns helps in creating training examples that demonstrate scalable, maintainable code structures that AI models should emulate in their generated code

Unique Aspects

This role represents one of the first large-scale opportunities for traditional software developers to transition into AI training without requiring advanced machine learning education, creating a bridge between established development careers and emerging AI opportunities
The position offers direct involvement in training models that will be used by millions of developers worldwide, providing unusual visibility and impact for individual contributor work
The combination of flexible scheduling, remote work, and project-based compensation creates a unique employment model that maximizes autonomy while providing stable income potential
Access to proprietary RLHF platforms and training processes provides hands-on experience with cutting-edge AI training methodologies typically available only to employees of major AI companies
The role serves as a real-time laboratory for understanding how AI will transform software development, positioning participants to anticipate and adapt to industry changes

Career Growth

Career advancement opportunities typically available within 12-18 months given the rapid growth of the AI industry and the specialized nature of AI training experience. The unique combination of skills developed in this role creates multiple pathway options for progression.

Potential Next Roles

AI Training Specialist or RLHF Engineer roles at major AI companies like OpenAI, Anthropic, or Google, leveraging direct experience with model training processes Technical Product Manager positions focused on AI developer tools, combining development experience with understanding of AI training requirements Senior Software Engineer roles at companies building AI-powered development tools, where experience training AI models provides unique insights into tool development AI Consultant or Technical Writer specializing in AI development workflows, capitalizing on the unique combination of development skills and AI training experience Founding technical roles at AI startups, where the combination of development expertise and AI training knowledge provides a competitive advantage in building AI-powered products

Company Overview

G2i Inc.

G2i Inc. operates as a specialized technical recruiting and workforce solutions company that has pivoted to capitalize on the massive demand for AI training data. The company serves as an intermediary between major AI companies and skilled developers, managing large-scale contractor networks for AI training projects. Their business model positions them at the intersection of traditional software development talent and emerging AI training needs.

G2i has established itself as a significant player in the AI training contractor space, with the scale to manage 200+ simultaneous contractor positions indicating substantial contracts with major AI companies. Their position as a middleman in the AI training ecosystem provides stability and consistent project flow that individual contractors would struggle to achieve independently.
While the specific role is listed in Dublin, the company operates globally with acceptance of candidates from North America, Latin America, Europe, Africa, and Asia. This international scope reflects the global nature of AI development and the company's ability to manage distributed teams across multiple time zones and regulatory environments.
The company culture emphasizes flexibility and results-oriented work, with policies allowing 3-hour lunches and self-directed scheduling indicating a focus on output rather than traditional time-based management. This approach aligns with the contractor model and attracts talent seeking work-life balance while working on cutting-edge technology projects.
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  • Critical success factors and key skills
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