Alpha W.

Key Skills

Software

Don't disclose

Top Subject Matter

Advanced Technical LLMs

prompt optimization and output evaluation

Multimodal generative AI outputs

Top Data Types

Text

Image

Document

Top Task Types

Diagnosis

RLHF

Entity (NER) Classification

Freelancer Overview

Freelance AI Trainer & Prompt Specialist (Remote Contract). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Bachelor of Medicine, Bachelor of Surgery, University of Calabar. AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Diagnosis.

Labeling Experience

Freelance AI Trainer & Prompt Specialist

ImageEntity (NER) Classification

No description provided.

2025 - Present

Freelance Prompt Specialist - Freelance

TextRLHFEntity (NER) Classification

Designed and delivered prompt engineering services for training AI models on continuity and output quality. Evaluated generated text and visual outputs against logical, factual, and style requirements. Corrected hallucinations and artifacts to improve the usability and consistency of datasets for downstream work. • Developed iterative prompt sets to maintain character, asset, and lighting continuity • Reviewed and graded outputs for coherence, correctness, and adherence to guardrails • Identified and redacted non-compliant or inaccurate model responses • Tested model performance across creative and technical domains

2025 - Present

Freelance AI Trainer & Prompt Specialist (Remote Contract)

Don't discloseText

Freelance AI Trainer & Prompt Specialist performing iterative evaluation and grading of AI-generated outputs. Labeled and annotated model responses for logical coherence, factual correctness, and compliance with explicit stylistic guardrails across complex generation workflows. Conducted dataset-quality improvement by identifying hallucinations, artifacts, and non-compliant data outputs. • Reviewed and graded AI-generated text for accuracy and consistency across sequential prompts. • Annotated outputs with notes related to rule adherence, coherence, and factuality. • Corrected issues by redacting non-compliant or hallucinated content to improve training data quality. • Tested model behavior across diverse creative and technical domains to validate label consistency.

2025 - Present

Clinical Student / Academic Researcher, University of Calabar, Faculty of Medicine

Don't discloseDiagnosis

Clinical Student / Academic Researcher supporting high-stakes medical quality control through verification of technical examination frameworks. Conducted peer-review and rigorous verification activities to ensure strict accuracy in scientific contexts. Focused on analyzing and interpreting complex medical datasets relevant to pathology, microbiology, and pharmacology. • Verified technical examination frameworks with peer-review style checks for accuracy. • Interpreted extensive medical datasets and diagnostic case studies in pathology, microbiology, and pharmacology. • Applied high-attention quality control processes to maintain correctness under pressure. • Managed and synthesized large volumes of complex medical information for reliable results.

2024 - Present

Education

Work History