Jyothsna Muralasetti

Detail-oriented Data Annotator with 20 months of experience in labeling and validating image, video, and text datasets for AI and ML model training. Skilled in annotation tools like CVAT and GT Studio, with strong focus on quality, accuracy, and consistency. Proven ability to meet deadlines in fast-paced environments and collaborate effectively with cross-functional teams.

Data Annotator - Adept Talent Acquisition - Vijayawada, India

(2024-02)

• Performed image and video labeling tasks for AI/ML model development in GT Studio.
• Annotated objects, actions, and environments with high accuracy to ensure precise dataset quality.
• Conducted text classification and entity tagging for NLP datasets.
• Participated in regular quality checks and feedback sessions to improve labeling accuracy by 15%.
• Collaborated with QA and project managers to ensure timely task completion.

Data Annotation Associate - Freelance / Project-based - Remote

(2023-07 - 2024-02)

• Labeled image and text data for client-based AI projects.
• Maintained project documentation and labeling standards.
• Supported data validation and correction of mislabeled samples.

Bachelor of Technology (B.Tech) - Electronics and Communication Engineering (ECE) - Aims engineering college in Amalapuram, JNTU Kakinada (2022)