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

Toronto, Canada
Contract
Mid-level
Posted: May 6, 2025
Remote
USD 30-50 per hour

Benefits

Flexible scheduling with complete autonomy over working hours
Remote work capability from multiple global locations
Weekly payments based on platform activity
Long-term contract stability (2+ years potential)
Professional development in cutting-edge AI technology

Key Responsibilities

Verify and validate AI testing environments through systematic log analysis
Conduct detailed problem categorization and knowledge area mapping
Create comprehensive documentation for AI agent guidance
Perform quality assessment of AI-generated code with detailed rationale
Develop and optimize code solutions across multiple programming languages
Design and implement robust test case frameworks
Create technical documentation and review processes for model integration
Evaluate and enhance AI model performance through iterative feedback

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 Experience with modern JavaScript frameworks Frontend testing expertise State management knowledge Technical writing ability English language fluency Clear communication skills
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Sauge AI Market Intelligence

Industry Trends

The AI training data market is experiencing unprecedented growth, with increasing demand for high-quality labeled data to train large language models. There's a significant shift towards leveraging experienced software engineers for AI training data creation, indicating a trend of combining traditional development expertise with AI capabilities. The emergence of specialized roles like SWEAP engineers represents a new career pathway bridging conventional software development and AI model training.

Salary Evaluation

USD 62,400 - 104,000 annually based on 40-hour weeks, which aligns with market rates for specialized AI-adjacent roles in North America

Role Significance

Large distributed team structure with 200+ similar roles indicating significant scale of operations
Mid to senior-level position requiring deep technical expertise combined with analytical capabilities for AI model training

Key Projects

AI model training data creation for large language models Code quality assessment and optimization for AI learning Testing environment validation and improvement Technical documentation for AI model training

Success Factors

Deep understanding of software engineering principles and best practices Ability to analyze and categorize complex technical problems systematically Strong documentation and technical writing capabilities Adaptability to evolving AI technologies and methodologies Attention to detail in code review and quality assessment

Market Demand

Very high demand with sustained growth expected over 24+ months due to rapid AI industry expansion and the specialized nature of AI training data creation

Important Skills

Critical Skills

Software engineering expertise in multiple languages Technical analysis and problem-solving capabilities Documentation and communication skills

Beneficial Skills

AI/ML knowledge Technical writing experience Test automation expertise Frontend development skills

Unique Aspects

Direct involvement in training next-generation AI models
Combination of traditional software engineering with AI development
Flexible work arrangement with performance-based compensation
Global remote work opportunity with significant scale

Career Growth

12-24 months for role mastery with potential for advancement into AI engineering or management roles

Potential Next Roles

AI Training Lead Machine Learning Engineer AI Model Development Specialist Technical AI Product Manager

Company Overview

G2i Inc.

G2i Inc. appears to be positioned as a significant player in the AI training data space, working with major AI/LLM companies

Growing presence in the AI infrastructure sector with substantial project pipeline
Global operation with strong presence in North America, Europe, and expanding into other regions
Remote-first environment with emphasis on flexibility and autonomous work style
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Job Listings Data

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  • Industry trends and market dynamics
  • 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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