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Margaret R.

Margaret R.

AI Data Annotator (Remote) — Appen (2023–2024)

USA flagNairobi, Usa

Key Skills

Software

AppenAppen
TolokaToloka

Top Subject Matter

AI training datasets (multilingual text/audio
QA and evaluation)
Multiformat AI dataset labeling (multilingual text/audio/video)

Top Data Types

TextText
AudioAudio
VideoVideo

Top Task Types

RLHFRLHF
TranscriptionTranscription

Freelancer Overview

AI Data Annotator (Remote) — Appen (2023–2024). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Toloka, and N. Education includes Bachelor of Arts, University of Nairobi (2016). AI-training focus includes data types such as Text, Audio, and Video and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Toloka

AI Data Contributor (Remote) — Toloka (2023–2024)

TolokaTolokaTextText

Remote AI Data Contributor performing comprehensive labeling across multiple media formats for AI/ML training purposes. Adapted to varying task instructions across simultaneous projects while maintaining accuracy and consistency. Used personal performance metrics to reduce error rates and improve labeling quality over time. • Completed text, audio, and video labeling tasks to project benchmarks. • Adapted quickly to different annotation guidelines across projects. • Analyzed task performance metrics to improve consistency and accuracy. • Leveraged Swahili and English skills for multilingual dataset labeling.

2023 - 2024
Appen

AI Data Annotator (Remote) — Appen (2023–2024)

AppenAppenTextTextRLHFRLHF

Remote AI Data Annotator delivering high-quality corrections and validations for machine-generated outputs used in AI training. Worked on NLP and speech-related dataset QA, including instruction-following evaluation tasks and RLHF-oriented annotation quality work. Collaborated with distributed teams to standardize guidelines and improve dataset accuracy across concurrent projects. • Reviewed and corrected text and audio outputs for high-stakes AI datasets. • Flagged labeling errors using structured validation techniques. • Supported RLHF and instruction-following evaluation best practices. • Helped align task guidelines and quality criteria across teams.

2023 - 2024

Transcriptionist – Project-Based (Remote) — Intron Health (2021–2023)

AudioAudioTranscriptionTranscription

Project-based remote transcription specialist producing high-fidelity documents from audio recordings for client delivery. Reviewed and edited transcripts to ensure they matched the original audio content and maintained coherence and accuracy. Maintained confidentiality for sensitive, domain-specific audio materials. • Transcribed audio recordings into clean, error-free text documents. • Performed post-transcription review and editing for accuracy. • Used transcription software to streamline turnaround and output efficiency. • Handled sensitive audio content with strict confidentiality.

2021 - 2023

Education

U

University of Nairobi

Bachelor of Arts, Kiswahili

Bachelor of Arts
2012 - 2016

Work History

S

Sunshine Academy

Swahili Teacher

Nairobi
2023 - Present
I

Intron Health

Transcriptionist

Nairobi
2021 - 2023