Douglas S.

Key Skills

Software

CVAT

CloudFactory

SuperAnnotate

Toloka

Internal/Proprietary Tooling

Clickworker

Data Annotation Tech

Labelbox

Top Subject Matter

Autonomous systems / computer vision

NLP / intent datasets

Academic research / data annotation

Top Data Types

Image

Text

Audio

Top Task Types

Segmentation

Text Generation

Entity (NER) Classification

Transcription

Bounding Box

Polygon

Cuboid

Object Detection

Question Answering

Text Summarization

Fine-tuning

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Polyline

Point/Key Point

Classification

Freelancer Overview

I have previously worked with TELUS International, Uber, Fuzu, DDD, Micro1, Remotasks, Toloka, and Softehub among other organizations in the preparation of AI training data and data annotation services. These include transcription, text labeling, image and video annotation, content moderation, data validation, and quality assurance of datasets used in training AI models. Some of the tasks that I have done include object tracking, frame-by-frame video checking, speech and language annotation, and dataset evaluation and review for correctness and conformity with the project guidelines within tight deadlines. Also, I have done Swahili-English code switching and Sheng transcription jobs, which improved my linguistic precision and contextual awareness. What distinguishes me is my solid analytical skills, attention to detail, and capacity to learn and use new tools in data annotation tasks quickly. I possess a Bachelor’s degree in Mathematics and an additional certificate in AI Training from Otermans Institute, which provided me with a good understanding of AI systems, data processing, and model training techniques. Apart from data annotation, I have prior experience in research support, data analysis, virtual assistance, and customer support, which makes me an organized and flexible worker who performs efficiently in remote settings.

Labeling Experience

Data Labeler | Uber (via Fuzu – Remote)

OtherImageSegmentation

Provided 2D image annotations for autonomous systems, including bounding boxes and segmentation, while following strict annotation guidelines. Focused on ensuring labeling accuracy and consistency to support downstream model training and validation. Participated in AI model training by delivering reliable labeled data used for quality checks and iterative improvements. • Labeled images with bounding boxes and segmentation masks • Followed guideline-driven QA to ensure consistency • Contributed to training datasets via validation-ready outputs • Supported autonomous systems data labeling workflows

2025 - Present

Freelance Academic Writer & Data Annotator

DocumentEntity (NER) Classification

Provided academic writing support alongside data annotation and transcription services for research and client deliverables. Produced and maintained annotated and transcribed content while meeting deadlines and quality expectations. Ensured timely, high-quality outputs to support client needs. • Delivered academic content and technical writing • Performed data annotation, transcription, and data entry • Maintained high client satisfaction through quality • Managed multiple annotation-related requests for research use

2022 - Present

Data annotations

VideoPolygon

Engaged in AI training data projects that were centered around video annotation for computer vision models. Duties entailed annotating bounding boxes and polygons of objects in each frame of videos, tracing the movement of objects from one frame to another, and maintaining consistency while doing so. Also, engaged in prompt writing tasks for generating prompts for use in generative AI training. The job required high-quality standards and precision in carrying out tasks.

2025 - 2026

AI Data Contributor | Digital Data Divide (DDD)

TextText Generation

Generated Swahili sentences and intent datasets for NLP model training with an emphasis on linguistic accuracy and contextual relevance. Collaborated with teams to improve dataset quality and usability for training workflows. Maintained dataset consistency to support model performance and iteration cycles. • Created Swahili sentence and intent examples • Ensured contextual relevance and linguistic accuracy • Collaborated with teams to enhance dataset quality • Prepared data for intent classification model training

2022 - 2023

Data Transcriber | AMREC Organization

AudioTranscription

Transcribed Swahili audio content into accurate English text while preserving meaning and clarity. Ensured translations reflected the original audio content with attention to accuracy. Supported documentation and research processes by providing reliable transcripts for downstream use. • Transcribed Swahili audio to English text • Ensured accuracy and clarity in translations • Supported documentation and research workflows • Produced readable, research-ready transcript outputs

2021 - 2022

Education

Work History