Eyinimofe A.

Key Skills

Software

Appen

Other

Scale AI

Top Subject Matter

Norwegian-language speech data transcription for AI training and LQA

NLP/ML dataset annotation (speech event, silence, disfluency, noise)

Norwegian-language speech transcription and dataset annotation

Top Data Types

Audio

Text

Document

Top Task Types

Transcription

Entity (NER) Classification

Freelancer Overview

Freelance Translator and Transcription Specialist (LQA) - Self-Employed. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, ELAN, and Other. Education includes Master’s Degree, Norwegian University of Science and Technology (NTNU) (2020) and Bachelor’s Degree, University of Agder (UiA) (2017). AI-training focus includes data types such as Audio and labeling workflows including Transcription and Named Entity Recognition.

Labeling Experience

Freelance Translator and Transcription Specialist (LQA) - Self-Employed

Scale AIAudioTranscriptionEntity (NER) Classification

You provide Norwegian-to-English translation, verbatim transcription, and linguistic quality assurance services for remote clients. Your work emphasizes clarity, terminological precision, and formatting consistency across instructional, editorial, and crisis-related materials. You post-edit speech-to-text outputs and conduct linguistic QA to ensure deliverables align with client style guides and original audio. • Translate English content into accurate, natural-sounding Norwegian for multiple content types • Perform verbatim transcription with full fidelity, including hesitations, overlaps, and required labeling • Apply precise timestamps and consistent speaker labels according to project annotation schemas • Post-edit ASR outputs and review transcripts for accuracy, formatting, and adherence to style guides

2024 - Present

Adrovar — Remote (Verbatim transcription & annotation) 2024–Present

OtherAudioTranscription

Delivered verbatim transcription and inline audio/text annotation for Norwegian-language audio content. Applied project-specific labeling schemas to tag speech events, silences, and noise markers supporting machine learning dataset development. Produced transcription and annotation batches that met formatting and quality requirements and turnaround targets. • Verbatim capture including disfluencies, overlaps, and non-verbal cues • Inline annotation aligned to labeling schemas • Speech event, silence, and noise marker tagging • Deliverable formatting/quality checks and turnaround adherence

2024 - Present

Appen — Remote (Verbatim transcription data contributor) 2024–Present

AppenAudioTranscription

Contributed verbatim transcription and transcription post-editing for Norwegian-language audio used in AI training and speech recognition pipelines. Applied precise timestamps and consistent speaker labels, and corrected ASR/speech-to-text outputs by aligning them to the source audio. Reviewed completed transcripts for accuracy, formatting consistency, and adherence to client and platform style guidelines. • Verbatim transcription with full fidelity including disfluencies and overlaps • Timestamping, speaker labeling, and noise/event tagging per schema • Post-editing of ASR/speech-to-text outputs for alignment • Linguistic QA review of transcripts before delivery

2024 - Present

LanguageDataAnnotation Specialist — Remote Contract (Various clients) 2020–2022

AudioTranscription

Annotated audio and text datasets for NLP and speech recognition development according to detailed guidelines and labeling schemas. Tagged speech events, pauses, disfluencies, and background noise in audio files using ELAN and related tools. Reviewed completed annotation batches for internal consistency, labeling accuracy, and compliance with project specifications. • Speech event tagging, pause/disfluency labeling, and background noise indicators • Audio/text dataset annotation following project schemas • Batch quality review for consistency and labeling accuracy • Remote collaboration with teams and milestone delivery

2020 - 2022

Audio Transcription Assistant - Sententia

Scale AIAudioTranscription

You worked as an audio transcription assistant supporting Norwegian-language transcription tasks of varying length and audio quality. You transcribed interviews, focus groups, and documentary field recordings while following internal transcription style guides and quality checklists. You also reviewed transcripts against source audio to correct errors and formatting inconsistencies before delivery. • Transcribe Norwegian audio with attention to detail for accuracy and fidelity • Review and correct transcription errors, mishearings, and formatting issues • Support preparation of large-scale transcript batches for broadcast and research clients • Follow internal quality standards and meet supervised turnaround targets

2019 - 2020

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Education

Work History