Ronald A.

Key Skills

Software

Don't disclose

Remotasks

Data Annotation Tech

Top Subject Matter

Multilingual NLP dataset annotation

LLM output evaluation and policy/safety compliance

Computer vision labeling

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Data Annotation Contributor. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose, Remotasks, and Data Annotation Tech. Education includes Bachelor of Science, Pwani University (2024) and Professional Certificate, Coursera / Google (2026). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER), Evaluation, and Rating.

Labeling Experience

AI Output Tester & Evaluator

Don't discloseText

Evaluated AI-generated outputs for quality, accuracy, tone, and policy compliance to support reliable model behavior. Built and executed prompt test cases to probe LLM edge cases and refine evaluation criteria. Reported observed degradation patterns and issues to inform targeted improvements.• Evaluated 800+ AI-generated outputs per month for quality and compliance. • Achieved 0% critical errors on final deliverables. • Built 50+ prompt test cases targeting LLM edge cases. • Identified 12 issues from degradation reporting to guide fine-tuning.

2023 - 2024

Data Annotation Contributor

Don't discloseText

Contributed to multilingual text annotation for NLP model training, focusing on guideline adherence and consistency. Performed structured QA cross-checks to reduce annotation errors before final submission. Helped maintain high-quality labeling performance at scale.• Annotated 2,500+ multilingual text entries per month for NLP training. • Achieved 96%+ guideline adherence on labeled data. • Reduced dataset error rates by 11% via QA cross-checks. • Ensured labels were ready for model ingestion and downstream training.

2023 - 2024

AI Data Labeller & Evaluator

RemotasksImageClassification

Performed data labeling for computer vision and NLP tasks, sustaining high annotation quality over multiple years. Completed image labeling for CV training, and conducted RLHF preference ranking on paired model outputs. Escalated guideline edge cases for QA review to drive annotation revisions and reduce ambiguity errors.• Annotated 12,000+ images monthly for computer vision model training with a 98.5% quality score. • Completed 350+ annotation tasks per day across image labeling, text classification, and RLHF feedback ranking. • Processed 200+ paired AI outputs daily for RLHF preference ranking with 94%+ inter-annotator agreement. • Escalated 300+ guideline edge cases to QA leads, reducing ambiguity errors by 18%.

2020 - 2024

Data Annotator & Quality Reviewer

Data Annotation TechText

Quality-assured NLP and text classification labels to ensure labeling consistency and readiness for model ingestion. Reviewed AI-generated outputs for accuracy, tone, and policy compliance while preventing SLA misses. Caught labeling errors across project batches to protect downstream training data integrity.• Quality-assured 5,000+ NLP/text classification labels per month. • Maintained 97% inter-annotator agreement across sentiment and entity recognition tasks. • Reviewed 1,200+ AI-generated outputs per month with zero missed SLAs. • Detected labeling errors across 3 project batches before model ingestion.

2022 - 2023

Education

Work History