Suurshater Kiekwe

Key Skills

Software

Other

Appen

Top Subject Matter

Data Annotation/Egocentric Data Collection

Natural Language Processing

Multilingual Text and Audio Transcription

Top Data Types

Text

Image

Top Task Types

Classification

Transcription

Segmentation

Data Collection

Evaluation Rating

Freelancer Overview

Data Annotation for Atlas.io from 2025 -2026. Manual Data Labeling for University Projects and Self-Learning. Core strengths include Other and Appen. Education includes Bachelor of Science, Federal University, Wukari (2025). AI-training focus includes data types such as Text and labeling workflows including Classification and Transcription.

Labeling Experience

Freelance Data Annotation, Transcription & Evaluation Practice

AppenTextTranscription

Completed online practice tasks involving data annotation, transcription, and evaluation using free AI training platforms. Developed skills in accurately transcribing and evaluating text and audio data, focusing on linguistic correctness and native language fluency. Familiarized with industry-standard AI training guidelines and best practices from platforms such as CrowdGen by Appen and Remotasks. • Performed transcription and annotation on practice datasets in English, Yoruba, Igbo, Hausa, and Tiv. • Evaluated text data according to consistency and quality requirements. • Practiced using open-access tools and workflows for remote AI data tasks. • Gained experience with evaluation metrics and error analysis for AI model outputs.

Completed online practice tasks involving data annotation, transcription, and evaluation using free AI training platforms. Developed skills in accurately transcribing and evaluating text and audio data, focusing on linguistic correctness and native language fluency. Familiarized with industry-standard AI training guidelines and best practices from platforms such as CrowdGen by Appen and Remotasks. • Performed transcription and annotation on practice datasets in English, Yoruba, Igbo, Hausa, and Tiv. • Evaluated text data according to consistency and quality requirements. • Practiced using open-access tools and workflows for remote AI data tasks. • Gained experience with evaluation metrics and error analysis for AI model outputs.

2024 - Present

Manual Data Labeling for University Projects and Self-Learning

OtherTextClassification

Practiced manual data labeling and annotation on sample datasets for training machine learning models. Tasks included cleaning and organizing text data, as well as performing sentiment analysis and text classification. Developed a foundation in annotation accuracy, quality control, and following guidelines for data consistency. • Manually labeled and organized sample text datasets for academic machine learning projects. • Conducted sentiment analysis using spreadsheet tools and Python scripts. • Applied text classification techniques as part of coursework and self-learning. • Ensured consistency and accuracy by following established AI annotation protocols.

Practiced manual data labeling and annotation on sample datasets for training machine learning models. Tasks included cleaning and organizing text data, as well as performing sentiment analysis and text classification. Developed a foundation in annotation accuracy, quality control, and following guidelines for data consistency. • Manually labeled and organized sample text datasets for academic machine learning projects. • Conducted sentiment analysis using spreadsheet tools and Python scripts. • Applied text classification techniques as part of coursework and self-learning. • Ensured consistency and accuracy by following established AI annotation protocols.

2023 - Present

Education

Work History