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M
Manchester U.

Manchester U.

Data Annotator (Remote) - TELUS Digital

Kenya flagNairobi, Kenya

Key Skills

Software

TelusTelus
Other

Top Subject Matter

AI training data quality control and POI-related validation via web/online source checks.
Speech-to-text and transcription dataset preparation.
Legal Services & Contract Review

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

TranscriptionTranscription

Freelancer Overview

Data Annotator (Remote) - TELUS Digital. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and Other. Education includes Bachelor of Arts, Chuka University (2019) and Certificate, Brilliant Technology Solutions (2015). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Transcriptionist (Remote) - GoTranscript

OtherAudioAudioTranscriptionTranscription

Transcribed audio and video content remotely with a strong emphasis on accuracy, formatting, and clarity. Verified content correctness through careful listening and review, then proofread transcripts to ensure consistent, error-free outputs. Followed strict style guides, confidentiality rules, and turnaround timelines.• Transcribe audio/video content accurately with proper formatting.• Perform review and listening-based verification for correctness.• Adhere to style guides, confidentiality requirements, and timing expectations.• Proofread and ensure transcript consistency and quality.

2025 - Present
Telus

Data Annotator (Remote) - TELUS Digital

TelusTelusTextText

Validated and annotated text datasets for AI and machine learning pipelines while ensuring entries met defined guidelines and quality standards. Performed quality assurance checks to detect inconsistencies, mislabeling, and incomplete records, then documented decisions to support downstream teams. Maintained accuracy and throughput to meet productivity and SLA requirements.• Validate text data and apply annotation guidelines and SOPs across large-scale datasets.• Conduct QA/error checks for consistency and completeness of labels.• Record validation decisions clearly for downstream quality and model training.• Meet SLA targets with high accuracy under defined workflows.

2025 - Present

Education

C

Chuka University

Bachelor of Arts, Economics and Sociology

Bachelor of Arts
2015 - 2019
B

Brilliant Technology Solutions

Certificate, Computer Information Technology

Certificate
2014 - 2015

Work History

T

TELUS Digital

Data Annotator

Nairobi
2025 - Present
G

GoTranscript

Transcriptionist

Nairobi
2025 - Present