Emmanuel K.

Key Skills

Software

Other

Appen

Top Subject Matter

Generative AI / Large Language Model (multimodal training data)

Machine Learning Annotation Curriculum / Instructional design

Medical AI annotation and clinical documentation QA

Top Data Types

Text

Image

Video

Audio

Document

Top Task Types

Prompt + Response Writing (SFT)

Diagnosis

Emotion Recognition

Transcription

Data Collection

Classification

Freelancer Overview

AI Data Trainer – Generative AI at Amazon (AGI DS) (Remote). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of North Texas (2025) and Associate of Arts, Nazareth University (2021). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

AI Data Trainer – Generative AI at Amazon (AGI DS) (Remote)

TextPrompt + Response Writing (SFT)

Create and annotate multimodal training data to improve proprietary large language model capabilities across business lines. Automate data processing workflows using Python and SQL to optimize annotation throughput. Collaborate with cross-functional stakeholders to identify tooling bugs and recommend system improvements for higher-quality AI interactions in Alexa and AWS ecosystems. • Multimodal annotation (text, images, video) • Throughput optimization via automated workflows • Quality improvement through stakeholder feedback • Tooling bug identification and system recommendations

2025 - Present

Content Developer – Machine Learning Annotation at Correlation One (Remote)

OtherText

Develop instructional and training materials for machine learning annotation workflows. Cover supervised annotation tasks including text classification, named entity recognition (NER), span annotation, and multimedia labeling. Support content deployment on learning platforms and refine materials iteratively through peer review feedback. • Instructional content for text classification and NER • Span annotation and multimedia labeling curriculum • Facilitator guides, exercises, and evaluation rubrics • Iterative refinement via peer reviews

2025 - 2025

Transcription & Localization Specialist at Verbit (Remote)

OtherAudio

Deliver transcription, captioning, and dubbing services across legal, corporate, media, and educational domains using advanced AI technology. Use an ASR engine to generate real-time captions and multilingual subtitles to improve accessibility and comprehension. Ensure accuracy standards for live captioning during Zoom events and other scheduled educational and corporate sessions. • Real-time captioning with ASR • Multilingual subtitling generation • Transcription and dubbing deliverables • Accuracy assurance for live captioning events

2024 - 2024

AI Training Specialist at Appen / CallMiner Partnership (Remote)

AppenAudioEmotion Recognition

Annotate sentiment and emotion data from customer service call recordings using contextual understanding of sarcasm, tone, and intent. Support large-scale annotation efforts enabling processing of tens of thousands of audio samples for improved sentiment classification. Contribute to responsible AI practices and help develop model explainability documentation. • Sentiment and emotion labeling for customer calls • Nuanced handling of sarcasm and tone context • Large-scale audio annotation for classification • Responsible AI and explainability documentation support

2024 - 2024

Data Annotator – Medical AI at Wisedocs (Remote – US Contractor)

OtherDiagnosis

Review and improve AI-generated medical outputs by identifying systemic errors and opportunities to enhance model performance. Extract key information from complex medical records and compare it against source documents to detect clinical or technical discrepancies. Provide structured feedback to QA and machine learning teams to improve data quality and model behavior while meeting productivity and quality benchmarks. • Medical record extraction and error detection • Cross-checking extracted data vs. source documents • Structured feedback to QA/ML teams • Quality and productivity benchmark attainment

2024 - 2024

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Education

Work History