10/02/2026 updated
100 % available
AI Data Annotation Specialist | Linguistic Quality & Language Expert
Kansas, United Kingdom
Only remote
Master of Fine Arts in Creative WritingAbout me
With over 13 years of experience, I am Okeowo Oluwatoyin, offering professional services in translation, transcription, proofreading, editing, subtitle translation, dubbing, quality control, AI training, and prompt evaluation.
Data Definition LanguageLatent Semantic AnalysisText Analysis
AI Data Annotation & Evaluation
Annotation and labeling of text data across healthcare, finance and legal domains, evaluation of AI-generated responses for factual accuracy, relevance, completeness and tone, as well as ranking and comparing multiple model outputs with documented reasoning.
Linguistic Quality Assurance (LQA / MQM)
Performing LQA reviews of translated and post-edited content using MQM-based error typologies and severity levels, classifying errors in accuracy, fluency, terminology, style and locale conventions, and maintaining high inter-annotator consistency through calibration sessions.
Translation & Proofreading (English-German)
Translation and proofreading of professional documents with strict attention to meaning, terminology and tone, applying consistent terminology using client termbases, translation memories and CAT tool QA checks, and editing machine-translated output to publication quality following MTPE guidelines.
Prompt Engineering & ChatGPT Training
Designing and refining prompts and prompt templates to elicit reliable, high-quality responses from large language models, creating evaluation rubrics and scoring criteria for consistent human assessment of model responses.
Annotation Guidelines Development
Developing clear, example-driven annotation guidelines and decision rules for language and content-evaluation projects, designing training curricula and building qualification tests covering edge cases and common labeling mistakes.
Content Review & Technical Writing
Reviewing and editing complex technical and professional content for accuracy, clarity and logical structure, rewriting dense specialist material into plain language, and fact-checking claims and terminology against reliable sources.
CAT Tools & Annotation Platforms
Working efficiently in web-based annotation platforms, QA queues and feedback dashboards, applying CAT tools, glossaries and termbases to ensure terminology consistency across projects.
Data Confidentiality & Compliance
Protecting sensitive and personal data in line with client confidentiality, NDA and data-handling requirements, handling compliance-sensitive wording including regulated, financial and legal phrasing.
Training & Calibration
Leading calibration sessions to align annotators on interpretation of guidelines and scoring rubrics, analyzing annotator performance and feedback data to refine training content and delivery methods.
Annotation and labeling of text data across healthcare, finance and legal domains, evaluation of AI-generated responses for factual accuracy, relevance, completeness and tone, as well as ranking and comparing multiple model outputs with documented reasoning.
Linguistic Quality Assurance (LQA / MQM)
Performing LQA reviews of translated and post-edited content using MQM-based error typologies and severity levels, classifying errors in accuracy, fluency, terminology, style and locale conventions, and maintaining high inter-annotator consistency through calibration sessions.
Translation & Proofreading (English-German)
Translation and proofreading of professional documents with strict attention to meaning, terminology and tone, applying consistent terminology using client termbases, translation memories and CAT tool QA checks, and editing machine-translated output to publication quality following MTPE guidelines.
Prompt Engineering & ChatGPT Training
Designing and refining prompts and prompt templates to elicit reliable, high-quality responses from large language models, creating evaluation rubrics and scoring criteria for consistent human assessment of model responses.
Annotation Guidelines Development
Developing clear, example-driven annotation guidelines and decision rules for language and content-evaluation projects, designing training curricula and building qualification tests covering edge cases and common labeling mistakes.
Content Review & Technical Writing
Reviewing and editing complex technical and professional content for accuracy, clarity and logical structure, rewriting dense specialist material into plain language, and fact-checking claims and terminology against reliable sources.
CAT Tools & Annotation Platforms
Working efficiently in web-based annotation platforms, QA queues and feedback dashboards, applying CAT tools, glossaries and termbases to ensure terminology consistency across projects.
Data Confidentiality & Compliance
Protecting sensitive and personal data in line with client confidentiality, NDA and data-handling requirements, handling compliance-sensitive wording including regulated, financial and legal phrasing.
Training & Calibration
Leading calibration sessions to align annotators on interpretation of guidelines and scoring rubrics, analyzing annotator performance and feedback data to refine training content and delivery methods.
Experience
Professional experience10+ years
Freelancer since2012
Languages
GermanFluentEnglishFluent
Project history
Annotating and labeling text data across healthcare, finance and legal domains following detailed project guidelines and taxonomies. Evaluating AI-generated responses for factual accuracy, relevance, completeness, tone and adherence to instructions. Ranking and comparing multiple model outputs, flagging ambiguous or policy-violating content, and writing and revising prompts and reference responses.
Performing LQA reviews of translated and post-edited content using MQM-based error typologies and severity levels. Classifying errors in accuracy, fluency, terminology, style, locale conventions and verbosity. Assessing machine translation output and post-editing quality, maintaining high inter-annotator consistency through calibration sessions, and keeping current with evolving MQM guidelines and client-specific quality frameworks.
Developing clear, example-driven annotation guidelines and decision rules for language and content-evaluation projects. Designing training curricula, building qualification tests, leading calibration sessions, and partnering with project managers and AI teams to align training with model-improvement goals.