Evelyne W.

Key Skills

Software

Sama

Appen

Scale AI

Clickworker

Top Subject Matter

Autonomous vehicle computer vision (pedestrian, lanes, traffic signs) and RLHF preference annotation for LLM fine-tuning

Multilingual NLP (sentiment, toxicity, classification, QA, NER) and RLHF/instruction-following evaluation

Medical imaging segmentation QA and conversational AI data labeling (intents/entities/response quality)

Top Data Types

Image

Text

Video

Audio

Document

Top Task Types

Object Detection

Entity (NER) Classification

Segmentation

Transcription

Evaluation/Rating

Freelancer Overview

Senior Data Labelling Specialist & Team Lead — Sama (formerly Samasource). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Sama, Appen, and Scale AI. Education includes Bachelor of Science, University of Nairobi (2020). AI-training focus includes data types such as Image, Text, and Video and labeling workflows including Object Detection, Entity (NER) Classification, and Segmentation.

Labeling Experience

Senior Data Labelling Specialist & Team Lead — Sama (formerly Samasource)

SamaImageObject Detection

Senior Data Labelling Specialist and Team Lead for a computer vision program serving a Tier-1 autonomous vehicle client. Produced high-quality bounding box and segmentation annotations at scale while maintaining high accuracy. Managed end-to-end QA, guideline governance, and annotator training to sustain consistency across millions of labeled samples. • Led 12 annotators producing 2M+ bounding box and segmentation annotations with 98.7% average accuracy. • Designed and maintained ontologies and guidelines for pedestrian detection, lane marking, and traffic sign classification. • Performed weekly inter-annotator agreement (IAA) assessments and calibration, reducing disagreement by 34% in 6 months. • Served as primary QA reviewer for RLHF preference annotation, reviewing 500–800 prompt-response pairs per week.

2023 - Present

Data Annotation Specialist — NLP & Text — Appen (Contract)

AppenTextEntity (NER) Classification

Data Annotation Specialist for NLP and text labeling work for global technology clients. Labeled large volumes of text for sentiment, toxicity, topic classification, and question answering while ensuring consistency with project guidelines. Performed NER on multilingual datasets and participated in RLHF and instruction-following evaluation with nuanced written justifications. • Labeled 500,000+ text samples for sentiment analysis, toxicity detection, topic classification, and question answering. • Completed NER annotation in English and Swahili, tagging persons, organizations, locations, dates, and domain-specific entities. • Conducted RLHF and instruction-following evaluation with quality ratings and written justifications. • Ranked in the top 10% of annotators by accuracy and completion rate across three consecutive quarters.

2022 - 2022

Data Labeller & Quality Reviewer — Remotasks / Scale AI (Freelance)

Scale AIVideoSegmentation

Data labeller and quality reviewer completing image and video annotation tasks for AI startup clients. Produced object detection and instance segmentation labels and reviewed peer work to identify errors and provide structured feedback. Contributed to chatbot training data with multilingual intent/entity labeling and response quality scoring. • Completed image/video labeling for object detection, instance segmentation, and image classification projects. • Maintained 97%+ accuracy on polygon segmentation for medical imaging tasks (skin lesion delineation and retinal annotation). • Performed quality review on peer submissions with structured, guideline-aligned feedback. • Annotated Swahili/English dialogue for chatbot training including intent labeling, entity extraction, and response quality scoring.

2021 - 2022

Junior Data Annotation Analyst — Micro-task Platforms (Appen, Clickworker, MTurk)

ClickworkerAudioTranscription

Junior Data Annotation Analyst executing foundational data labeling tasks for ML training datasets. Labeled images, performed text classification, and handled speech/audio transcription tasks to support ASR development. Added audio-level emotion, tone, and speaker identity labeling to improve sentiment-aware voice assistant training. • Transcribed and timestamped 300+ hours of English and Swahili audio for ASR model development. • Labeled emotion, tone, and speaker identity in audio samples for sentiment-aware voice assistant training. • Executed image categorization and text classification labeling tasks for ML datasets. • Maintained work logs and submitted daily production reports to project coordinators.

2021 - 2021

Education

Work History