Austine Best-Chinoziem

Key Skills

Software

Labelbox

Other

OneForma

CVAT

Appen

Top Subject Matter

General AI/ML

Computer Science

Linguistics Domain Expertise

Top Data Types

Text

Document

Video

Top Task Types

Classification

Transcription

Computer Programming/Coding

Text Summarization

Question Answering

Object Detection

Freelancer Overview

AI Quality Analyst (Contract) – Atlas (via Atlas Capture Platform). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Labelbox. Education includes Master of Science, Nnamdi Azikiwe University (2024) and Bachelor of Science, Nnamdi Azikiwe University (2014). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

MSc Thesis – Neural Machine Translation (Legal English–Igbo) Evaluation

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For my MSc thesis in Computer Science, I am conducting quality evaluation of English–Igbo Neural Machine Translation (NMT) outputs in the legal domain. This ongoing project involves extensive content review, linguistic annotation, and accuracy assessment for AI translation models. The work directly parallels advanced AI model validation and quality assurance tasks. • Evaluated domain-specific translation outputs for semantic accuracy. • Annotated linguistic and legal concepts in NMT outputs. • Used structured error analysis for model refinement. • Managed large-scale parallel text datasets for training.

For my MSc thesis in Computer Science, I am conducting quality evaluation of English–Igbo Neural Machine Translation (NMT) outputs in the legal domain. This ongoing project involves extensive content review, linguistic annotation, and accuracy assessment for AI translation models. The work directly parallels advanced AI model validation and quality assurance tasks. • Evaluated domain-specific translation outputs for semantic accuracy. • Annotated linguistic and legal concepts in NMT outputs. • Used structured error analysis for model refinement. • Managed large-scale parallel text datasets for training.

2024 - Present

AI Quality Analyst (Contract) – Atlas (via Atlas Capture Platform)

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As an AI Quality Analyst at Atlas via Atlas Capture Platform, I performed high-volume annotation and verification tasks to improve AI model accuracy. I reviewed and evaluated model outputs against predefined quality standards. My role required applying platform-provided guidelines and maintaining rigorous data integrity. • Conducted quality assurance checks on annotated datasets. • Applied annotation protocols consistently across assignments. • Collaborated remotely with platform moderators. • Produced error categorization reports for ongoing platform improvements.

As an AI Quality Analyst at Atlas via Atlas Capture Platform, I performed high-volume annotation and verification tasks to improve AI model accuracy. I reviewed and evaluated model outputs against predefined quality standards. My role required applying platform-provided guidelines and maintaining rigorous data integrity. • Conducted quality assurance checks on annotated datasets. • Applied annotation protocols consistently across assignments. • Collaborated remotely with platform moderators. • Produced error categorization reports for ongoing platform improvements.

2024 - 2024

AI Quality Assurance & Data Validation Specialist (Contract) – Outlier.ai

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As an AI Quality Assurance & Data Validation Specialist at Outlier.ai, I validated and scored AI model responses against internal rubrics. I ensured data quality standards were consistently met throughout multiple domains. Internal training emphasized alignment with client requirements and domain adaptation. • Performed comprehensive scoring of AI-generated outputs. • Ensured adherence to task-specific evaluation rubrics. • Participated in internal QA review and feedback cycles. • Contributed to ongoing product improvement through error analysis.

As an AI Quality Assurance & Data Validation Specialist at Outlier.ai, I validated and scored AI model responses against internal rubrics. I ensured data quality standards were consistently met throughout multiple domains. Internal training emphasized alignment with client requirements and domain adaptation. • Performed comprehensive scoring of AI-generated outputs. • Ensured adherence to task-specific evaluation rubrics. • Participated in internal QA review and feedback cycles. • Contributed to ongoing product improvement through error analysis.

2023 - 2023

AI Training Contributor & Quality Evaluator (Contract) – Alignerr (via Labelbox)

LabelboxText

As an AI Training Contributor & Quality Evaluator at Alignerr via Labelbox, I was responsible for multimodal data annotation, ranking, and rating. I evaluated AI-generated content for relevance, factual accuracy, and coherence. The tasks leveraged my understanding of computer science and linguistics for accurate AI model assessments. • Completed platform-specific training on annotation workflows. • Applied structured reasoning to AI content evaluation. • Performed detailed ranking and rating across multiple datasets. • Used Labelbox to manage and document annotation tasks.

As an AI Training Contributor & Quality Evaluator at Alignerr via Labelbox, I was responsible for multimodal data annotation, ranking, and rating. I evaluated AI-generated content for relevance, factual accuracy, and coherence. The tasks leveraged my understanding of computer science and linguistics for accurate AI model assessments. • Completed platform-specific training on annotation workflows. • Applied structured reasoning to AI content evaluation. • Performed detailed ranking and rating across multiple datasets. • Used Labelbox to manage and document annotation tasks.

2023 - 2023

Education

Work History