Jordan Smith

Key Skills

Software

Remotasks

Other

Labelbox

Top Subject Matter

Natural Language Processing

AI Training

Speech-to-text Domain Expertise

Top Data Types

Text

Audio

Document

Top Task Types

Transcription

RLHF

Freelancer Overview

AI Trainer. Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks, Other, and Labelbox. Education includes Bachelor of Science, California State University, Los Angeles. AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Freelance Technical Transcriptionist

OtherAudioTranscription

As a Freelance Technical Transcriptionist at Rev.com, I transcribed technical audio content with a strong focus on accuracy and formatting. The majority of audio included challenging elements such as background noise and accents. These transcriptions contributed to better training corpora for AI speech-to-text applications. • Transcribed over 500+ hours of complex audio files. • Specialized in aviation, mechanical, and difficult acoustic environments. • Ensured adherence to technical and linguistic standards in transcripts. • Used Audacity and Rev.com tools for high-clarity output.

As a Freelance Technical Transcriptionist at Rev.com, I transcribed technical audio content with a strong focus on accuracy and formatting. The majority of audio included challenging elements such as background noise and accents. These transcriptions contributed to better training corpora for AI speech-to-text applications. • Transcribed over 500+ hours of complex audio files. • Specialized in aviation, mechanical, and difficult acoustic environments. • Ensured adherence to technical and linguistic standards in transcripts. • Used Audacity and Rev.com tools for high-clarity output.

2021 - 2026

AI Data Labeling & RLHF Specialist

LabelboxTextRLHF

I performed human-in-the-loop reinforcement learning (RLHF) to train and refine next-generation language models. My workflow included linguistic annotation and intent/entity classification in technical dialogues. Work was conducted using platforms such as Labelbox and Scale AI for NLP model enhancement. • Labeled complex technical language data for intent and entity extraction. • Conducted linguistic annotation using IPA for phonetic accuracy. • Provided high-quality human feedback for supervised AI training. • Utilized Labelbox/Scale AI and internal documentation platforms.

I performed human-in-the-loop reinforcement learning (RLHF) to train and refine next-generation language models. My workflow included linguistic annotation and intent/entity classification in technical dialogues. Work was conducted using platforms such as Labelbox and Scale AI for NLP model enhancement. • Labeled complex technical language data for intent and entity extraction. • Conducted linguistic annotation using IPA for phonetic accuracy. • Provided high-quality human feedback for supervised AI training. • Utilized Labelbox/Scale AI and internal documentation platforms.

2022 - 2025

AI Trainer

RemotasksText

As an AI Trainer with Remotask and Handshake, I trained AI models on various language tasks and evaluated generated outputs for accuracy. My role involved prompt formulation, crafting responses, and rating model answers based on defined rubrics. I ensured high-quality feedback for continuous improvement in natural language model performance. • Conducted comprehensive evaluation and rating of AI responses to text prompts. • Led RLHF exercises to enhance model understanding and accuracy. • Formulated and tested prompts and response paradigms. • Utilized platform tools and documentation for quality assurance.

As an AI Trainer with Remotask and Handshake, I trained AI models on various language tasks and evaluated generated outputs for accuracy. My role involved prompt formulation, crafting responses, and rating model answers based on defined rubrics. I ensured high-quality feedback for continuous improvement in natural language model performance. • Conducted comprehensive evaluation and rating of AI responses to text prompts. • Led RLHF exercises to enhance model understanding and accuracy. • Formulated and tested prompts and response paradigms. • Utilized platform tools and documentation for quality assurance.

2022 - 2025

Education

Work History