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M

Meremo S.

Freelance Annotator & Transcriptionist (Self-employed)

United States Minor Outlying Islands flagUnited States Minor Outlying Islands

Key Skills

Software

AppenAppen
Other

Top Subject Matter

Natural Language Processing (NLP) and computer vision data annotation for ML teams.
Speech transcription for English and Swahili audio used in AI training and dataset preparation.
Legal Services & Contract Review

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
TranscriptionTranscription

Freelancer Overview

Freelance Annotator & Transcriptionist (Self-employed). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen and Other. Education includes High School Diploma, Nairobi High School (2018). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification and Transcription.

Labeling Experience

Freelance Annotator & Transcriptionist (Transcription services)

OtherAudioAudioTranscriptionTranscription

Produced transcription outputs for AI/speech datasets from English and Swahili audio sources. Delivered verbatim, clean-read, and time-coded transcripts with emphasis on clarity and accuracy. Ensured transcripts were easy for clients to follow, supporting downstream model training and review. • Transcribed 150+ hours of audio including podcasts, interviews, and legal recordings. • Provided verbatim and clean-read transcription styles. • Included time-coded transcript formatting. • Transcription delivered alongside data labeling work for ML-oriented client projects.

2020 - Present
Appen

Freelance Annotator & Transcriptionist (Self-employed)

AppenAppenTextTextClassificationClassification

Freelance annotator supporting NLP and AI model training by accurately labeling large volumes of text-based data. Maintained high quality with QA scores exceeding 97% through consistent, accurate labeling. Contributed to improving data consistency so downstream models could learn reliably. • Labeled over 50,000 NLP data points for machine learning projects. • Achieved QA performance exceeding 97% consistently. • Performed classification-style labeling as part of NLP dataset creation. • Delivered results for clients through Appen, Clickworker, and direct contracts.

2020 - Present

Education

N

Nairobi High School

High School Diploma, General Education

High School Diploma
2015 - 2018

Work History

R

Remote Clients

Virtual Assistant and Data Entry Specialist

Nairobi
2021 - Present
S

Self-Employed

Freelance Transcriptionist and Translator

Nairobi
2020 - Present