Danson Gatungu

Key Skills

Software

Scale AI

Surge AI

Labelbox

Appen

Top Subject Matter

Natural Language Processing (NLP)

Computer Vision

Speech Recognition/NLP

Top Data Types

Text

Image

Video

Audio

Top Task Types

Entity (NER) Classification

Bounding Box

Classification

Transcription

Segmentation

Freelancer Overview

I am an experienced AI Trainer and Data Labeling Specialist with over two years of hands-on experience supporting the development of high-quality machine learning datasets. I have worked extensively across leading platforms including Scale AI, Appen, Surge AI, and Labelbox, contributing to a wide range of tasks such as text annotation, image and video labeling, audio transcription, and prompt engineering for large language models. My Computer Science background gives me a strong technical foundation that allows me to understand project requirements quickly and deliver consistently accurate work. What sets me apart is my versatility across multiple data modalities and AI domains, combined with a keen eye for detail and a commitment to quality. I have experience evaluating and ranking AI-generated responses as part of RLHF workflows, designing and testing prompts for LLM alignment, and maintaining high accuracy scores across concurrent projects. I thrive in remote, self-directed environments and take pride in producing clean, well-annotated data that meaningfully contributes to the performance of AI systems.

Labeling Experience

Image Segmentation Specialist

LabelboxImageSegmentation

Managed and completed image segmentation and classification tasks on advanced annotation platforms. Maintained detailed records of annotation decisions and escalated complex cases to project leads. Demonstrated expertise in working with image datasets for computer vision model development. • Used Labelbox for precise segmentation project execution. • Achieved consistent quality scores above client thresholds. • Participated in ongoing quality assurance and team calibration sessions. • Documented edge cases to improve annotation guidelines.

Managed and completed image segmentation and classification tasks on advanced annotation platforms. Maintained detailed records of annotation decisions and escalated complex cases to project leads. Demonstrated expertise in working with image datasets for computer vision model development. • Used Labelbox for precise segmentation project execution. • Achieved consistent quality scores above client thresholds. • Participated in ongoing quality assurance and team calibration sessions. • Documented edge cases to improve annotation guidelines.

2022 - Present

Audio Data Transcriber & Annotator

AppenAudioTranscription

Transcribed and annotated audio files to support speech recognition and natural language processing tasks. Maintained high levels of transcription accuracy and met project deadlines consistently. Collaborated with client teams to clarify labeling requirements and address ambiguous audio segments. • Performed speech-to-text transcription for multilingual datasets. • Tagged speaker turns and segments for dialog systems. • Maintained and documented decision guidelines for annotation consistency. • Consistently exceeded project quality thresholds.

Transcribed and annotated audio files to support speech recognition and natural language processing tasks. Maintained high levels of transcription accuracy and met project deadlines consistently. Collaborated with client teams to clarify labeling requirements and address ambiguous audio segments. • Performed speech-to-text transcription for multilingual datasets. • Tagged speaker turns and segments for dialog systems. • Maintained and documented decision guidelines for annotation consistency. • Consistently exceeded project quality thresholds.

2022 - Present

Data Labeling Specialist (Video)

Scale AIVideoClassification

Completed video dataset labeling for machine learning pipelines focused on classification and action recognition. Delivered accurate annotations according to detailed project guidelines and client requirements. Contributed to model training by ensuring consistency and completeness of labeled samples. • Performed quality checks on labeled video segments. • Assisted in reviewing and annotating edge cases. • Provided ongoing feedback to platform teams for guideline refinement. • Maintained high accuracy and completed tasks on or ahead of schedule.

Completed video dataset labeling for machine learning pipelines focused on classification and action recognition. Delivered accurate annotations according to detailed project guidelines and client requirements. Contributed to model training by ensuring consistency and completeness of labeled samples. • Performed quality checks on labeled video segments. • Assisted in reviewing and annotating edge cases. • Provided ongoing feedback to platform teams for guideline refinement. • Maintained high accuracy and completed tasks on or ahead of schedule.

2022 - Present

AI Trainer & Data Labeling Specialist (Image)

Scale AIImageBounding Box

Labeled and quality-checked large volumes of images for computer vision model training and validation. Ensured precise bounding box placement and class consistency in annotation tasks. Performed quality assurance, reviewed edge cases, and supported guideline improvements. • Used image labeling platforms to deliver segmentation and classification annotations. • Consistently achieved project quality benchmarks and rapid task turnaround. • Collaborated with team members to improve tool calibration. • Managed concurrent image labeling assignments with high accuracy.

Labeled and quality-checked large volumes of images for computer vision model training and validation. Ensured precise bounding box placement and class consistency in annotation tasks. Performed quality assurance, reviewed edge cases, and supported guideline improvements. • Used image labeling platforms to deliver segmentation and classification annotations. • Consistently achieved project quality benchmarks and rapid task turnaround. • Collaborated with team members to improve tool calibration. • Managed concurrent image labeling assignments with high accuracy.

2022 - Present

AI Trainer & Data Labeling Specialist (Text/NLP)

Scale AITextEntity Ner Classification

Conducted detailed text annotation and semantic labeling for natural language processing models across various platforms. Collaborated with multiple clients remotely to deliver high-quality datasets for NLP applications. Ensured data accuracy, guideline adherence, and continuous improvement of annotation practices. • Performed precise entity recognition and sentiment analysis on diverse text corpora. • Participated in prompt engineering and large language model evaluation tasks. • Provided RLHF ratings and comparative assessments for LLM fine-tuning. • Maintained strict quality standards and met challenging project deadlines.

Conducted detailed text annotation and semantic labeling for natural language processing models across various platforms. Collaborated with multiple clients remotely to deliver high-quality datasets for NLP applications. Ensured data accuracy, guideline adherence, and continuous improvement of annotation practices. • Performed precise entity recognition and sentiment analysis on diverse text corpora. • Participated in prompt engineering and large language model evaluation tasks. • Provided RLHF ratings and comparative assessments for LLM fine-tuning. • Maintained strict quality standards and met challenging project deadlines.

2022 - Present

Education

Work History