Davis M'Mauka

Key Skills

Software

Label Studio

Telus

Appen

Remotasks

Scale AI

Top Subject Matter

General AI/ML Training Data

Search Engine and NLP AI Training

AI Content Quality Assessment

Top Data Types

Image

Text

Document

Audio

Top Task Types

Classification

Entity Ner Classification

Bounding Box

Polygon

Transcription

Freelancer Overview

Freelance Data Annotator – Remote, United States. Core strengths include Label Studio, Telus, and Appen. Education includes Bachelor of Science, University of Texas (2018). AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Entity (NER) Classification, and Evaluation.

Labeling Experience

Freelance Data Contributor

TextClassification

Contributed to multiple AI projects by annotating, categorizing, and validating text data for model improvement. Focused on text classification, intent recognition, and training data creation for large language models. Maintained high levels of cultural and linguistic accuracy in all annotation work. • Consistently achieved above 95% quality benchmarks. • Collaborated with a distributed remote team on annotation projects. • Provided linguistic and contextual validation for sensitive data sets. • Assisted in training language models on diverse textual corpora.

Contributed to multiple AI projects by annotating, categorizing, and validating text data for model improvement. Focused on text classification, intent recognition, and training data creation for large language models. Maintained high levels of cultural and linguistic accuracy in all annotation work. • Consistently achieved above 95% quality benchmarks. • Collaborated with a distributed remote team on annotation projects. • Provided linguistic and contextual validation for sensitive data sets. • Assisted in training language models on diverse textual corpora.

2023 - Present

AI Training Contributor

TextClassification

During my tenure as an AI Training Contributor at Outlier, I labeled and reviewed text-based datasets designed for large language models. I offered high-quality feedback on AI conversational systems and specialized in grammar correction, text summarization, and contextual tagging. I collaborated on pilot projects improving chatbot and assistant response quality. • Labeled and reviewed English conversation and task datasets • Provided contextual tagging and summarization for LLMs • Gave constructive feedback on AI-generated language • Supported the development of intelligent chatbots

During my tenure as an AI Training Contributor at Outlier, I labeled and reviewed text-based datasets designed for large language models. I offered high-quality feedback on AI conversational systems and specialized in grammar correction, text summarization, and contextual tagging. I collaborated on pilot projects improving chatbot and assistant response quality. • Labeled and reviewed English conversation and task datasets • Provided contextual tagging and summarization for LLMs • Gave constructive feedback on AI-generated language • Supported the development of intelligent chatbots

2022 - 2023

Data Annotator & Reviewer

RemotasksImageBounding Box

Worked on computer vision and autonomous driving projects involving image annotation. Utilized bounding boxes, segmentation, and object tracking for visual datasets, and performed LiDAR labeling for road and lane markups. Conducted NLP text tagging and entity recognition as part of multidisciplinary annotation tasks. • Reviewed and corrected label submissions by junior annotators. • Participated in annotation pipelines for quality assurance. • Balanced productivity quotas with consistent accuracy. • Engaged in both computer vision and NLP annotation streams.

Worked on computer vision and autonomous driving projects involving image annotation. Utilized bounding boxes, segmentation, and object tracking for visual datasets, and performed LiDAR labeling for road and lane markups. Conducted NLP text tagging and entity recognition as part of multidisciplinary annotation tasks. • Reviewed and corrected label submissions by junior annotators. • Participated in annotation pipelines for quality assurance. • Balanced productivity quotas with consistent accuracy. • Engaged in both computer vision and NLP annotation streams.

2020 - 2022

Data Labeler (Contract)

Scale AIImagePolygon

At Scale AI, I contributed as a Data Labeler for autonomous driving datasets using polygonal segmentation and image tagging techniques. My role involved annotating images and ensuring quality control under tight deadlines. I effectively collaborated to deliver quality annotations for advanced perception systems. • Performed polygon and semantic segmentation on traffic scenes • Tagged objects in complex autonomous vehicle environments • Upheld annotation accuracy and completeness for model training • Met strict project delivery timelines

At Scale AI, I contributed as a Data Labeler for autonomous driving datasets using polygonal segmentation and image tagging techniques. My role involved annotating images and ensuring quality control under tight deadlines. I effectively collaborated to deliver quality annotations for advanced perception systems. • Performed polygon and semantic segmentation on traffic scenes • Tagged objects in complex autonomous vehicle environments • Upheld annotation accuracy and completeness for model training • Met strict project delivery timelines

2021 - 2021

Freelance Search Evaluator & Annotator

AppenAudioTranscription

Participated in AI data annotation projects involving speech-to-text transcription, image tagging, and text categorization. Conducted search engine evaluation to improve AI algorithms and voice recognition systems. Ensured consistent annotation quality by adhering to stringent guidelines. • Maintained high annotation throughput. • Provided detailed categorization and labeling of audio and image data. • Supported multilingual data collection projects. • Played a key role in refining search and speech model training datasets.

Participated in AI data annotation projects involving speech-to-text transcription, image tagging, and text categorization. Conducted search engine evaluation to improve AI algorithms and voice recognition systems. Ensured consistent annotation quality by adhering to stringent guidelines. • Maintained high annotation throughput. • Provided detailed categorization and labeling of audio and image data. • Supported multilingual data collection projects. • Played a key role in refining search and speech model training datasets.

2019 - 2021

Education

Work History