Bilal O.

Key Skills

Software

Don't disclose

Scale AI

Axiom AI

Top Subject Matter

Conversational AI evaluation and LLM prompt-response assessment

Conversational AI chatbot response evaluation and customer inquiry labeling/triage

General data annotation fundamentals

Top Data Types

Text

Video

Image

Top Task Types

Data Collection

Freelancer Overview

Freelance Virtual Assistant (AI output evaluation, prompt evaluation, RLHF-style feedback). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Google AI Essentials Certificate, Google (2024) and Professional Certificate, Coursera / Vanderbilt University (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Freelance Virtual Assistant (AI output evaluation, prompt evaluation, RLHF-style feedback)

Don't discloseText

Provided structured evaluation and feedback on AI-generated text for quality, correctness, tone, and coherence. Performed RLHF-style preference ranking and prompt-response assessment to improve conversational AI outputs. Ensured responses met clarity and helpfulness expectations for downstream use. • Tone, accuracy, and coherence scoring with written rationale • Prompt-response rating for quality calibration • Preference ranking consistent with RLHF workflows • Feedback used to refine LLM behavior and conversational quality

2023 - Present

Customer Support Representative (AI-assisted chatbot testing and response evaluation)

Text

Assisted in validating and improving AI-assisted chatbot responses by collaborating with team leads on accuracy and helpfulness testing. Documented recurring customer issues to support continuous refinement of conversational AI behavior. Provided high-quality written communication through chat and email to support evaluation datasets and troubleshooting. • Evaluated chatbot responses for correctness and helpfulness • Reported recurring issue patterns for knowledge base updates • Supported iterative test-and-refine cycles with team leads • Maintained responsive, empathetic communication records

2022 - 2023

Data Annotation Fundamentals (self-directed via Scale AI/Remotasks resources)

Scale AITextData Collection

Completed self-directed instruction in data annotation fundamentals using online resources and platform materials. Practiced core annotation workflows and learned task structures used in common labeling pipelines. Prepared for applying labeling skills to AI training datasets. • Learned annotation task types and workflow basics • Practiced labeling concepts from training resources • Reviewed dataset/task structure and expected outputs • Built baseline understanding of annotation quality practices

2020 - 2020

Education

Work History