AI Trainer
Agentic Stack System
$ 15 • Published Date: • Remote
Description
Agentic Stack System is seeking a dedicated AI Trainer with at least one year of experience to enhance the performance and accuracy of artificial intelligence systems. The ideal candidate applies expertise in data annotation, prompt engineering, and evaluation frameworks to improve machine learning models by providing structured human feedback. This role focuses on understanding and refining large language models by creating and optimizing prompt templates as well as evaluating model responses for alignment with expected behaviors. The AI Trainer collaborates cross-functionally with research and development teams to implement efficient workflows for human feedback annotation. The role requires attention to detail, systematic evaluation of AI outputs, and continual process improvement to ensure high-quality training data. While this position does not include management responsibilities, strong coordination skills are essential to work effectively within a dynamic, technology-driven environment.
Responsibilities
- Perform detailed data annotation and labeling to train and fine-tune language models accurately.
- Design and optimize prompt templates that effectively elicit desired AI responses.
- Develop and apply LLM response evaluation frameworks to assess the performance of AI outputs systematically.
- Implement and maintain human feedback annotation workflows that ensure consistency and quality in training datasets.
- Collaborate with AI research and engineering teams to understand model behavior and identify opportunities for improvement.
- Monitor and analyze the performance of AI models to support continuous enhancement efforts.
- Document annotation processes and maintain data quality standards to facilitate reproducibility and transparency.
- Contribute to the refinement of AI training methodologies through feedback and innovative approaches.
- Stay updated with industry trends and best practices in AI training, data annotation, and evaluation techniques.
- Assist in troubleshooting issues related to data quality, annotation consistency, and model response alignment.
Experience
1 Year
Apply By
Required Skills
- Data Annotation And Labeling
- Prompt Engineering
- Prompt Template Design
- LLM Response Evaluation Frameworks
- Human Feedback Annotation Workflows
Nice to Have Skills
- Machine Learning Basics
- Natural Language Processing Fundamentals