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I'm Kimberly Volenec, an AI Trainer and Data Annotator with over five years of experience in improving AI model accuracy and reliability by analyzing data and collaborating closely with developers. I excel at problem-solving and data management, and I am proficient in handling diverse data annotation formats—text, video, audio, and image. I focus on practical improvements through hands-on testing and clear insights, and I enjoy working with developers to refine language models, design effective prompts, and ensure high-quality, scalable results.…I'm Kimberly Volenec, an AI Trainer and Data Annotator with over five years of experience in improving AI model accuracy and reliability by analyzing data and collaborating closely with developers. I excel at problem-solving and data management, and I am proficient in handling diverse data annotation formats—text, video, audio, and image. I focus on practical improvements through hands-on testing and clear insights, and I enjoy working with developers to refine language models, design effective prompts, and ensure high-quality, scalable results.

Kimberly Volenec

Data Annotator, AI Engineer, Data Scientist, +2

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I'm Kimberly Volenec, an AI Trainer and Data Annotator with over five years of experience in improving AI model accuracy and reliability by analyzing data and collaborating closely with developers. I excel at problem-solving and data management, and I am proficient in handling diverse data annotation formats—text, video, audio, and image. I focus on practical improvements through hands-on testing and clear insights, and I enjoy working with developers to refine language models, design effective prompts, and ensure high-quality, scalable results.…I'm Kimberly Volenec, an AI Trainer and Data Annotator with over five years of experience in improving AI model accuracy and reliability by analyzing data and collaborating closely with developers. I excel at problem-solving and data management, and I am proficient in handling diverse data annotation formats—text, video, audio, and image. I focus on practical improvements through hands-on testing and clear insights, and I enjoy working with developers to refine language models, design effective prompts, and ensure high-quality, scalable results.

Available to hire

I’m Kimberly Volenec, an AI Trainer and Data Annotator with over five years of experience in improving AI model accuracy and reliability by analyzing data and collaborating closely with developers.

I excel at problem-solving and data management, and I am proficient in handling diverse data annotation formats—text, video, audio, and image. I focus on practical improvements through hands-on testing and clear insights, and I enjoy working with developers to refine language models, design effective prompts, and ensure high-quality, scalable results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Trainer at Independent Contractor

July 1, 2022 - Present

Train AI models to improve accuracy and reliability of responses. Conduct detailed fact-checking to boost model performance. Collaborate with developers to refine and optimize language models. Identify and analyze model errors, provide constructive feedback, and analyze results to spot trends and suggest improvements. Engage in voice and text interactions to collect responses and data. Design and refine prompts to improve how models interpret input and generate responses. Annotate large, high-volume datasets across text, video, audio, and image formats with accuracy and efficiency.

Data Annotator at Independent Contractor

June 1, 2020 - Present

Annotate large, multi-format datasets to improve model response accuracy across text, audio, video, and images. Work with developers to refine language models; apply bounding boxes, polygon segmentation, key points, and pixel-level labeling for computer vision tasks; perform frame-by-frame labeling for object tracking and action recognition. Deliver transcripts for audio and video content, tagging actions, dialogues, and visual scenes. Review data for accuracy and consistency; identify errors and edge cases; collaborate with project managers and developers to align outputs with project goals; document anomalies according to guidelines.