Gabriel O.

Key Skills

Software

Lionbridge

Appen

Labelbox

Top Subject Matter

German–English translation datasets

NLP training

and linguistic QA for technical/legal/marketing content

Top Data Types

Text

Image

Document

Top Task Types

Entity (NER) Classification

Freelancer Overview

AI Language Trainer & German Translation Specialist (AI model training, dataset annotation, evaluation, and MTPE). Brings 13+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Lionbridge, Appen, and Labelbox. Education includes Master of Arts, University of Birmingham (2020) and Bachelor of Science, University of South Wales (2017). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Language Trainer & German Translation Specialist - TELUS International

LabelboxTextEntity (NER) Classification

You served as an AI language and translation specialist focused on improving German-to-English translation quality. In this role you applied linguistic expertise to support natural, accurate outputs for technical, legal, and marketing content. You also produced machine translation post-edits and ensured consistency and quality across deliverables. • Train and evaluate language models to improve translation accuracy • Perform machine translation post-editing (MTPE) for multiple domains • Annotate and review datasets for NLP-oriented tasks • Review terminology and quality requirements for consistent outputs

2020 - Present

AI Language Trainer & German Translation Specialist (AI model training, dataset annotation, evaluation, and MTPE)

LionbridgeText

Trained and evaluated AI-powered language models to improve German–English translation accuracy using linguistically informed guidance. Annotated and reviewed NLP datasets to support AI training and quality improvement. Performed machine translation post-editing (MTPE) for technical, legal, and marketing content to ensure fluent, accurate outputs. • Labeled/reviewed data used for German–English translation tasks. • Conducted evaluation to assess translation quality and model performance. • Carried out MTPE to correct and refine AI-generated translations. • Ensured outputs met linguistic and domain-specific requirements.

2020 - Present

AI Data Annotator & Linguistic Reviewer

AppenTextEntity (NER) Classification

Labeled and reviewed German–English datasets intended for AI model training to improve translation-related NLP capabilities. Performed quality assurance checks on AI-generated translation outputs to verify correctness and fluency. Supported dataset preparation by applying linguistic criteria during annotation and review. • Produced labels/reviews for German–English training data. • Verified quality of AI-generated translations through QA checks. • Ensured linguistic consistency across labeled items. • Contributed to dataset reliability for model training.

2016 - 2019

Education

Work History