Faridah S.

Key Skills

Software

Don't disclose

Top Subject Matter

LLM / AI response evaluation and prompt quality

Dataset annotation for AI training and evaluation

AI evaluation and data-focused project work

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

AI Evaluator at LangSmith (Remote). Core strengths include Don't disclose. Education includes Bachelor of Veterinary Medicine and Surgery, Egerton University (2030) and Diploma in Applied Computer Technology, Egerton University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotator at AtlasCapture (Remote)

Don't discloseTextClassification

They performed text and image annotation according to project specifications and quality standards. They labeled, categorized, and validated datasets used for AI model training and evaluation while maintaining accuracy and meeting project deadlines. They conducted quality assurance reviews to identify annotation errors and inconsistencies. • Dataset labeling and categorization • Validation and quality assurance review • Annotation error detection • Deadline-focused quality delivery

2024 - Present

AI Evaluator at LangSmith (Remote)

Don't discloseText

They evaluated AI-generated responses for accuracy, relevance, coherence, and safety. They reviewed prompts and model outputs to improve response quality and reliability while applying detailed evaluation guidelines. They identified factual errors, inconsistencies, and policy compliance issues in AI outputs. • Accuracy and relevance scoring • Coherence and safety checks • Prompt and response quality evaluation • Structured feedback for QA improvement

2024 - Present

Freelancer at Outlier (Remote)

Don't discloseText

They reviewed and validated AI-generated content for quality and correctness. They completed data-focused tasks that required critical thinking, data analysis, and attention to detail. They maintained productivity and quality standards in a fast-paced remote environment. • AI content review and validation • Data analysis and quality checks • Research/evaluation task participation • Production-focused quality maintenance

2023 - Present

Education

Work History