Loren Wayne

Key Skills

Software

Mercor

Other

Mindrift

Top Subject Matter

Multilingual text annotation

natural language processing

Audio-text annotation for ASR

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Transcription

Freelancer Overview

AI Data Annotation Specialist — Mercor Projects. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor, Other, and Mindrift. Education includes Master of Science, N/A (2024) and Bachelor of Science, Western Governors University (2019). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification, Transcription, and Evaluation.

Labeling Experience

AI Data Annotation Specialist — Mercor Projects

MercorTextClassification

As an AI Data Annotation Specialist at Mercor Projects, I performed large-scale annotation tasks to support AI development and training. My primary responsibilities included labeling multilingual text and output consistency checks for AI models. I enhanced the quality and speed of data pipelines for natural language processing projects. • Labeled over 18,000 tasks with 98.7% accuracy. • Focused on improving structured outputs and workflow efficiency. • Performed guideline compliance and error analysis. • Utilized tools for structured schema creation, quality assurance, and productivity optimization.

As an AI Data Annotation Specialist at Mercor Projects, I performed large-scale annotation tasks to support AI development and training. My primary responsibilities included labeling multilingual text and output consistency checks for AI models. I enhanced the quality and speed of data pipelines for natural language processing projects. • Labeled over 18,000 tasks with 98.7% accuracy. • Focused on improving structured outputs and workflow efficiency. • Performed guideline compliance and error analysis. • Utilized tools for structured schema creation, quality assurance, and productivity optimization.

2023 - Present

Digital Annotation Expert — Handshake AI

OtherAudioTranscription

At Handshake AI, I specialized in annotating and validating audio-text data for automatic speech recognition (ASR) system improvement. My role included transcribing audio samples and ensuring data quality through structured and accurate outputs. I helped streamline the annotation process and reduce post-processing workload for the team. • Completed over 10,000 audio-text alignment tasks for ASR data. • Increased labeling precision with custom consistency checks. • Focused on clean JSON outputs for downstream processing. • Collaborated to boost precision and reduce errors across projects.

At Handshake AI, I specialized in annotating and validating audio-text data for automatic speech recognition (ASR) system improvement. My role included transcribing audio samples and ensuring data quality through structured and accurate outputs. I helped streamline the annotation process and reduce post-processing workload for the team. • Completed over 10,000 audio-text alignment tasks for ASR data. • Increased labeling precision with custom consistency checks. • Focused on clean JSON outputs for downstream processing. • Collaborated to boost precision and reduce errors across projects.

2022 - 2023

Linguistic Evaluator — Mindrift

MindriftText

As a Linguistic Evaluator at Mindrift, I conducted structured evaluations and quality assessments for multilingual data sets. My tasks focused on rating, alignment, and schema validation to enhance natural language processing benchmarks. My efforts directly contributed to improved model accuracy and dataset reliability. • Delivered 1,500+ high-accuracy structured evaluations. • Improved dataset alignment and BLEU score. • Reduced mismatch and schema errors during annotation. • Focused on acceptance rate and guideline adherence.

As a Linguistic Evaluator at Mindrift, I conducted structured evaluations and quality assessments for multilingual data sets. My tasks focused on rating, alignment, and schema validation to enhance natural language processing benchmarks. My efforts directly contributed to improved model accuracy and dataset reliability. • Delivered 1,500+ high-accuracy structured evaluations. • Improved dataset alignment and BLEU score. • Reduced mismatch and schema errors during annotation. • Focused on acceptance rate and guideline adherence.

2021 - 2022

Education

Work History