About the Role
The role involves designing and implementing Python-based training pipelines for AI systems, ensuring high-quality data outputs and model performance through rigorous testing and iteration.
Compensation
Competitive hourly rate based on experience
Work Arrangement
Remote, flexible hours
Team
Collaborative team of AI specialists and software engineers
Responsibilities
- Develop and maintain Python scripts for AI model training
- Create synthetic datasets to improve machine learning accuracy
- Debug and optimize code for efficient execution
- Collaborate with researchers to refine training methodologies
- Evaluate model outputs for correctness and consistency
- Document technical processes and share findings with the team
- Stay updated on advancements in AI and programming techniques
- Ensure compliance with data quality and security standards
- Provide feedback on tooling and platform improvements
- Participate in peer reviews of training approaches
Requirements
- Proficiency in Python programming with real-world experience
- Strong understanding of data structures and algorithms
- Experience with machine learning frameworks or libraries
- Familiarity with version control systems like Git
- Ability to work independently with minimal supervision
- Excellent problem-solving and debugging skills
- Clear written communication in English
- Attention to detail in code and data handling
- Prior experience in AI or data science projects
- Comfort working with command-line interfaces
Preferred Qualifications
- Advanced degree in computer science or related field
- Experience with large language models
- Knowledge of data annotation workflows
- Background in software testing or automation
- Contributions to open-source Python projects
- Understanding of ethical AI principles
- Experience working remotely in distributed teams
Not applicable for remote positions