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V
Victor

Victor

Freelance Transcription Contributor (Crowdgen by Appen), remote

Kenya flagN/A, Kenya

Key Skills

Software

AppenAppen
CloudFactoryCloudFactory
Data Annotation TechData Annotation Tech
iMeritiMerit
MercorMercor
RemotasksRemotasks
Redbrick AIRedbrick AI

Top Subject Matter

Swahili speech transcription and machine transcript correction
Online chat quality assurance for conversational data

Top Data Types

AudioAudio
TextText
ImageImage

Top Task Types

TranscriptionTranscription
SegmentationSegmentation
ClassificationClassification
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Data CollectionData Collection
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Freelance Transcription Contributor (Crowdgen by Appen), remote. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Cloud Workers Company. Education includes Bachelor’s Degree in Public Health, Jomo Kenyatta University of Agriculture and Technology. AI-training focus includes data types such as Audio and labeling workflows including Transcription.

Labeling Experience

Swahili transcription-related work (Remote freelance)

Don't discloseAudioAudioTranscriptionTranscription

Speech-to-text review and transcript correction were performed through Swahili transcription tasks, emphasizing accuracy and readability of the resulting text. The role required listening to audio and comparing it against machine outputs to correct errors. Linguistic consistency was maintained by checking grammar and contextual meaning throughout the transcription process. • Listen to audio and validate transcript content • Correct machine transcript errors for Swahili language data • Maintain clarity and proper written grammar • Ensure contextual alignment between audio and text

Present
Appen

Freelance Transcription Contributor (Remote)

AppenAppenAudioAudioTranscriptionTranscription

Freelance contributor transcribing spoken audio into written Swahili text and correcting machine-generated transcripts. They focused on linguistic accuracy by ensuring correct grammar, contextual meaning, and clear formatting of the final output. They applied careful listening to audio recordings to validate and repair automated transcription errors. • Convert Swahili spoken audio to accurate written transcripts • Review and correct automatically generated transcript text • Verify grammar, spelling, and contextual meaning • Ensure high attention to detail during listening and transcription

Present

Education

J

Jomo Kenyatta University of Agriculture and Technology

Bachelor’s Degree in Public Health, Public Health

Bachelor’s Degree in Public Health
Not specified
J

Jomo Kenyatta University of Agriculture and Technology

Bachelor’s Degree, Public Health

Bachelor’s Degree
Not specified

Work History

F

Freelance

Freelance Transcription Specialist

N/A
2024 - Present
C

Cloudworkers

Online Chat Moderator

N/A
2023 - 2024