Mark R.

Key Skills

Software

Appen

Other

Top Subject Matter

Speech Recognition

ASR Training

Conversational AI

Top Data Types

Audio

Text

Document

Top Task Types

Transcription

Classification

Freelancer Overview

Freelance Speech Recognition Annotator. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Other. Education includes Bachelor of Arts, City College of New York (CUNY) (2019) and Associate of Arts, Borough of Manhattan Community College (CUNY) (2017). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription and Classification.

Labeling Experience

Content Moderator & Text Annotator

OtherTextClassification

In this position, the primary responsibility was labeling and annotating user-generated text for AI/chatbot training purposes. The work encompassed sentiment labeling, intent classification, policy compliance tagging, and entity recognition. Collaboration with QA leads ensured high annotation consistency and adherence to security standards. • Labeled user-generated text for sentiment, intent, and policy compliance. • Annotated conversational datasets including dialogue act tagging and entity recognition. • Calibrated annotation consistency by refining guidelines with QA leads. • Maintained strict data confidentiality and GDPR compliance for sensitive user content.

2026 - 2026

Freelance Speech Recognition Annotator

AppenAudioTranscription

This role involved transcribing and quality-assuring audio data for ASR (Automatic Speech Recognition) model training. Annotation tasks included adding structured metadata and correcting machine-generated transcriptions. Consistent adaptation to evolving schemas and quality standards was essential to maintain high dataset reliability. • Achieved 98%+ accuracy on daily high-volume audio annotation across diverse US English speakers. • Labeled speaker demographics, background noise, emotional tone, and overlapping speech. • Reviewed and corrected machine outputs for punctuation, capitalization, and homophone resolution. • Flagged low-quality audio and edge cases to facilitate engineering review.

2025 - 2026

Education

Work History