Solomon A.

Key Skills

Software

No software listed

Top Subject Matter

NLP & ASR evaluation for intent alignment

Voice search intent classification

Search relevance and ads quality evaluation

Top Data Types

Text

Audio

Top Task Types

Classification

Freelancer Overview

AI/ML Quality Engineer – NLP & ASR Evaluation (Remote). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, University of Oxford (2026) and Master of Engineering, University of Oxford (2020). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI/ML Quality Engineer – NLP & ASR Evaluation (Remote)

Text

Evaluated NLP and ASR model outputs for accuracy, fluency, and intent alignment. Designed annotation guidelines to improve labeling consistency across evaluators and contributors. Conducted error analysis to identify model weaknesses and inform performance improvements. • Reviewed outputs and assessed quality against defined criteria • Created or refined labeling/annotation guidelines to reduce variance • Performed systematic error analysis on failure cases • Fed findings back to improve dataset and model performance

2025 - Present

AI/ML Quality Engineer (NLP & ASR Evaluation) - Mercor

AudioClassification

Managed NLP and ASR quality evaluations to ensure model outputs are accurate, fluent, and aligned with user intent. Built and applied consistent annotation guidelines and conducted structured error analysis to diagnose weaknesses. Used evaluation results to support iterative performance improvement across NLP and speech pipelines with strong Python and machine learning fundamentals. • Evaluated NLP and ASR outputs for accuracy, fluency, and intent alignment • Designed annotation guidelines to improve labeling consistency • Performed error analysis to identify model weaknesses and improve performance • Collaborated on evaluation frameworks and quality analysis processes

2025 - 2026

NLP Quality Analyst (Voice Search & Content) - Tcs

TextClassification

Delivered voice search and content evaluation by assessing voice search queries for intent classification quality. Improved dataset quality through systematic QA and evaluation practices to increase model precision. Partnered with distributed teams to support reliable AI data workflows and evaluation-driven refinements. • Annotated and evaluated voice search queries for intent classification • Improved dataset quality leading to better model precision • Collaborated with global teams on AI data pipelines • Supported search evaluation and quality assurance activities

2022 - 2024

NLP Quality Analyst – Voice Search & Content (TCS, Remote)

AudioClassification

Annotated and evaluated voice search queries for intent classification to support voice-search understanding. Improved dataset quality to increase downstream model precision and reduce labeling noise. Collaborated with global teams to maintain and support AI data pipelines. • Labeled voice search query intents according to guidelines • Performed evaluation checks on labeled/query data for quality • Contributed to dataset quality improvements affecting precision • Coordinated with distributed teams on AI data pipeline workflows

2022 - 2024

Search & Ads Quality Analyst (CapCut / ByteDance, Remote)

Text

Assessed search relevance and ad quality to support ranking and advertising evaluation. Provided feedback through evaluation results to improve ranking systems. Used quality judgments to refine how search and ads are presented. • Rated/assessed search relevance quality • Evaluated ad quality for alignment and performance • Supplied feedback to inform ranking system improvements • Participated in ongoing evaluation cycles

2020 - 2021

Education

Work History