Wendy Landry

• Data Annotator, Labeling, social media rating, translations, video evaluation
• Streamlined feedback processes, enhancing the quality of input for model adjustments.
• Identified gaps in training content, leading to significant enhancements in participant comprehension.
• Engaged in peer reviews of annotated data to uphold quality standards consistently.
• Used polygon for detail segmentation to outline complex, irregular shapes.

Used CVAT, labelme, polygon, Labelstudio, Datature, Supervisely, and Labelbox

Worked on projects including: Mithrim, Thyme, Thyme V2, Gladiolus, Ogden, Trillium.

• Directed benefits program strategy to ensure regulatory compliance and improve overall employee satisfaction with available options. Aligned cross-functional teams to streamline benefits enrollment processes, reducing administrative delays and improving accuracy. Established vendor partnerships to optimize benefit offerings and control costs while maintaining competitive advantage in talent acquisition. Coordinated communication initiatives that increased employee engagement and understanding of benefit plans and policy changes. Prioritized benefits plan design enhancements to address workforce needs, resulting in improved retention and productivity. Orchestrated risk management efforts related to benefits administration, ensuring adherence to legal standards and minimizing liability. Defined metrics and reporting frameworks to monitor benefits utilization and inform strategic decision-making for continuous improvement.

• Conducted data labeling and annotation for AI training datasets, improving model accuracy.
• Reviewed and verified translations for consistency and cultural relevance in project outputs.
• Collaborated with cross-functional teams to refine social media evaluation criteria and metrics.
• Assisted in the development of training materials to enhance user understanding of AI tools.
• Provided feedback on AI model performance based on user interactions and engagement trends.

Worked with: Labelbox, Labelme, Roboflow, CVAT, and Datature.

• Conducted assessments of AI tools, delivering actionable insights for performance improvement.
• Streamlined evaluation criteria, enhancing the precision of AI assessments across projects.
• Evaluated AI model outputs for accuracy and relevance based on real-world applications.
• Increased data annotation efficiency through refined labeling guidelines and best practices.
• Delivered high-quality work consistently, exceeding performance objectives regularly.

Worked with: DeepSORT, ByteTrack, CVAT, Polygon,

• Managed front desk operations to ensure seamless visitor reception and improved client satisfaction through efficient communication. Coordinated advertising schedules to optimize campaign timing and enhance audience engagement across multiple media channels. Processed incoming calls and inquiries, delivering accurate information that increased customer trust and streamlined issue resolution. Organized marketing materials and promotional displays, contributing to a professional brand image and consistent messaging. Facilitated collaboration between sales and creative teams, aligning advertising efforts with business objectives to boost campaign effectiveness. Coordinated promotional materials distribution to local businesses, increasing community awareness and driving higher guest engagement with seasonal offers.