Achiki Damaris

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Geospatial Tiled Imagery

Image

Text

Top Label Types

Data Collection

Emotion Recognition

Entity Ner Classification

Evaluation Rating

Point Key Point

Prompt Response Writing SFT

Question Answering

Relationship

Segmentation

Text Summarization

Transcription

Freelancer Overview

I am a detail-oriented professional with a strong background in software engineering, data management, and customer experience, making me well-suited for roles in data labeling and AI training data. My experience includes analyzing and interpreting customer feedback and operational data at Telkom Kenya and NHIF, where I utilized tools like Power BI and Excel to create actionable insights and improve service delivery. I am skilled at organizing and maintaining both digital and physical records, ensuring data accuracy, confidentiality, and compliance with data protection standards. My proficiency in Python, data analysis, and digital collaboration tools allows me to contribute effectively to projects involving data annotation, quality control, and workflow optimization. I am passionate about leveraging technology to support AI initiatives and am committed to delivering high-quality, reliable training data for machine learning applications.

Labeling Experience

Data labeling specialist

CVATTextPoint Key PointEntity Ner Classification

The project entailed systematic annotation of multimodal datasets to support supervised machine learning workflows. Emphasis was placed on annotation consistency, inter-rater reliability, and adherence to standardized labeling schemas to enhance dataset validity for AI model training and evaluation.

The project entailed systematic annotation of multimodal datasets to support supervised machine learning workflows. Emphasis was placed on annotation consistency, inter-rater reliability, and adherence to standardized labeling schemas to enhance dataset validity for AI model training and evaluation.

2024 - 2025

Education

Work History