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Software Engineer for Training AI Data (SWEAP) - Job Opportunity at G2i Inc.

Denver, United States
Contract
Mid-level
Posted: May 6, 2025
Remote
USD 30-50 per hour

Benefits

Flexible work schedule with self-determined hours
Remote work capability
Weekly payments
Long-term contract stability (2+ years)
Platform-based performance tracking
Direct involvement in cutting-edge AI development

Key Responsibilities

Verify and validate AI testing environments through log analysis
Categorize and classify software engineering problems
Create detailed technical documentation for AI agent training
Evaluate and assess AI-generated code quality
Develop efficient solutions in multiple programming languages
Design and implement robust testing frameworks
Create technical training materials and documentation
Review and optimize code for AI model integration

Requirements

Education

Bachelor's or Master's degree in Computer Science (preferred)

Experience

Professional software engineering experience on production repositories

Required Skills

Go Git Java JavaScript Python TypeScript English language fluency Technical writing Problem-solving Code review Repository management Testing methodology
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Sauge AI Market Intelligence

Industry Trends

The rapid expansion of AI training data roles indicates a significant shift in how AI models are developed, with human expertise becoming increasingly vital in training and validation processes. The emergence of specialized roles bridging traditional software engineering and AI training suggests a new career path in tech that combines coding expertise with AI development. The increasing demand for high-quality training data in AI development is creating opportunities for experienced developers to transition into AI-adjacent roles without requiring direct AI expertise.

Salary Evaluation

The hourly rate of $30-50 translates to approximately USD 62,400-104,000 annually based on a 40-hour week, which aligns with market rates for specialized AI training roles. The flexible hours and performance-based payment structure suggest potential for higher earnings.

Role Significance

Large-scale distributed team structure with individual contributors working on parallel projects
Mid-level position with significant autonomous responsibility and direct impact on AI model development

Key Projects

AI model training data generation Code quality assessment and validation Testing environment development Technical documentation creation AI behavior analysis and optimization

Success Factors

Strong foundation in software engineering principles and practices Ability to analyze and document complex technical solutions Excellence in clear technical communication Adaptability to evolving AI technologies Strong attention to detail in code review and documentation

Market Demand

Very high demand with growing trajectory, evidenced by 200+ open positions and 2+ year project timeline

Important Skills

Critical Skills

Software engineering expertise in major languages Code analysis and review capabilities Technical writing and documentation skills Testing methodology expertise

Beneficial Skills

AI/ML knowledge Frontend development experience State management expertise Technical community involvement

Unique Aspects

Direct involvement in cutting-edge AI model training
Flexible work arrangement with performance-based compensation
Global remote team structure
Combination of traditional software engineering with AI development

Career Growth

12-24 months for role mastery with potential for advancement into AI specialization roles

Potential Next Roles

AI Training Team Lead Machine Learning Engineer AI Development Specialist Technical AI Product Manager AI Quality Assurance Lead

Company Overview

G2i Inc.

G2i Inc. appears to be positioned as a significant player in the AI development ecosystem, focusing on creating high-quality training data for advanced AI models

Strategic partner to major AI development companies with a specialized focus on training data generation
Global operation with strong presence in North America, Europe, and LATAM regions
Remote-first environment with emphasis on flexibility, autonomous work, and results-based performance evaluation
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  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

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