AI Data Trainer
- Developed training datasets by curating and annotating large volumes of data for AI model improvement.
- Collaborated with cross-functional teams to refine algorithms, enhancing model accuracy and performance.
- Conducted quality assessments on AI outputs, ensuring alignment with project objectives and standards.
- Implemented feedback loops from testing phases to enhance dataset quality and model reliability.
- Analyzed performance metrics to identify areas for data enhancement, driving continuous improvement initiatives.
- Checked records for accuracy and completeness, and corrected errors.
- Self-motivated, with a strong sense of personal responsibility.
- Learned and adapted quickly to new technology and software applications.
- Strengthened communication skills through regular interactions with others.
- Used critical thinking to break down problems, evaluate solutions and make decisions.
- Paid attention to detail while completing assignment
- Excited to try new ai tools