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I am a dedicated Data Annotation & Labeling Specialist with 4+ years of experience building high-quality training datasets for computer vision and NLP models. I've delivered accurate, scalable annotations for industry leaders including Appen, Scale AI, and TELUS International. I combine technical precision with strong communication skills to thrive in remote, fast-paced environments. I also apply my secondary skills in voiceover and writing to enhance data clarity and project communication, collaborating with cross-functional teams to resolve edge cases and update labeling guidelines so datasets meet client expectations.…I am a dedicated Data Annotation & Labeling Specialist with 4+ years of experience building high-quality training datasets for computer vision and NLP models. I've delivered accurate, scalable annotations for industry leaders including Appen, Scale AI, and TELUS International. I combine technical precision with strong communication skills to thrive in remote, fast-paced environments. I also apply my secondary skills in voiceover and writing to enhance data clarity and project communication, collaborating with cross-functional teams to resolve edge cases and update labeling guidelines so datasets meet client expectations.

Alice Grace

Data Annotator, Data Collector, Voice Actor, +7

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I am a dedicated Data Annotation & Labeling Specialist with 4+ years of experience building high-quality training datasets for computer vision and NLP models. I've delivered accurate, scalable annotations for industry leaders including Appen, Scale AI, and TELUS International. I combine technical precision with strong communication skills to thrive in remote, fast-paced environments. I also apply my secondary skills in voiceover and writing to enhance data clarity and project communication, collaborating with cross-functional teams to resolve edge cases and update labeling guidelines so datasets meet client expectations.…I am a dedicated Data Annotation & Labeling Specialist with 4+ years of experience building high-quality training datasets for computer vision and NLP models. I've delivered accurate, scalable annotations for industry leaders including Appen, Scale AI, and TELUS International. I combine technical precision with strong communication skills to thrive in remote, fast-paced environments. I also apply my secondary skills in voiceover and writing to enhance data clarity and project communication, collaborating with cross-functional teams to resolve edge cases and update labeling guidelines so datasets meet client expectations.

Available to hire

I am a dedicated Data Annotation & Labeling Specialist with 4+ years of experience building high-quality training datasets for computer vision and NLP models. I’ve delivered accurate, scalable annotations for industry leaders including Appen, Scale AI, and TELUS International. I combine technical precision with strong communication skills to thrive in remote, fast-paced environments.

I also apply my secondary skills in voiceover and writing to enhance data clarity and project communication, collaborating with cross-functional teams to resolve edge cases and update labeling guidelines so datasets meet client expectations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

AI Collection (Audio)

Expert

AI Collection (Video)

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Freelance Data Annotation & Labeling Specialist at Freelance (Remote)

March 1, 2021 - Present

Perform high-volume image and video annotation for autonomous vehicle datasets using bounding boxes, polygons, and semantic segmentation in Labelbox and CVAT. Annotate and classify text data for NLP projects including sentiment analysis, intent recognition, and content moderation. Train and evaluate AI models through iterative feedback loops as an Online Trainer, improving model accuracy by up to 15% over three project cycles. Ensure strict adherence to client-specific labeling guidelines while maintaining an average annotation accuracy rate of 99.2% across 200,000+ data points. Collaborate remotely with cross-functional teams at Scale AI and Appen to clarify edge cases, update labeling protocols, and deliver validated datasets on schedule.

Data Contributor (Contract) at TELUS International AI (formerly Lionbridge AI)

September 1, 2020 - February 1, 2021

Labeled and moderated image and text content for major search engine and e-commerce clients, supporting safe and relevant user experiences. Contributed to speech data collection and transcription projects for voice recognition systems, aligning with phonetic and demographic requirements. Maintained consistent output of 1,200+ tasks per week with a quality rating consistently above 98.5%.

Data Annotator (Project-Based) at Appen

June 1, 2019 - August 1, 2020

Executed a variety of annotation tasks including image tagging, audio transcription, and sentiment labeling across multiple AI training projects. Participated in data collection initiatives for conversational AI, sourcing and categorizing dialogue samples for chatbot training. Ranked in the top 10% of contributors for accuracy and throughput on the Appen Connect platform.

Freelance Data Annotation & Labeling Specialist at Self-Employed / Freelance

March 1, 2021 - Present

Perform high-volume image and video annotation for autonomous vehicle datasets using bounding boxes, polygons, and semantic segmentation in Labelbox and CVAT. Annotate and classify text data for NLP projects including sentiment analysis, intent recognition, and content moderation. Train and evaluate AI models through iterative feedback loops as an Online Trainer, improving model accuracy by up to 15% over three project cycles. Ensure strict adherence to labeling guidelines while maintaining an average annotation accuracy rate of 99.2% across 200,000+ data points. Collaborate remotely with cross-functional teams at Scale AI and Appen to clarify edge cases, update labeling protocols, and deliver validated datasets on schedule.