Victor M.

Key Skills

Software

Scale AI

Mercor

Other

Top Subject Matter

Medical and scientific content for healthcare AI training

Medical-domain evaluation and medical dataset labeling

Text evaluation for AI-generated career and professional content

Top Data Types

Text

Document

Top Task Types

RLHF

Freelancer Overview

AI Training Freelancer — Outlier (Scale AI) (2024–Present). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Mercor, and Other. Education includes Bachelor of Pharmacy, University of Uyo (2024). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Content Specialist — CareerFlow (2024–Present)

OtherText

Reviewed and evaluated AI-generated career and professional development content for accuracy and overall quality. Contributed to prompt writing and instruction-following work to improve AI content generation workflows. Delivered structured feedback on model outputs to support iterative improvements to AI-assisted career tools. • Evaluated AI content for quality and factual correctness • Assisted with prompt and instruction-following refinements • Provided feedback to guide iterative model improvements • Supported workflow enhancement for AI career content

2024 - Present

AI Evaluator / Medical Domain Expert — Mercor (2024–Present)

MercorText

Evaluated AI model outputs in the medical domain for accuracy, clinical reasoning quality, and response coherence. Participated in structured model interviews and capability assessments to inform healthcare AI fine-tuning. Annotated and labeled medical datasets to help ensure high-quality ground truth for downstream training pipelines. • Assessed medical correctness and reasoning quality of responses • Provided expert feedback on pharmacology and clinical pharmacy outputs • Took part in interviews and capability evaluations • Performed medical dataset annotation and labeling

2024 - Present

AI Training Freelancer — Outlier (Scale AI) (2024–Present)

Scale AIRLHF

Completed RLHF preference-ranking tasks by evaluating and ranking AI-generated responses for healthcare quality, accuracy, and safety. Authored and reviewed healthcare-focused prompts to improve model performance and reduce clinically risky outputs. Performed red-teaming to identify weaknesses and support robustness improvements across model behaviors. • Evaluated AI responses for correctness, safety, and coherence • Produced training data via creative writing and instruction-following • Wrote/redesigned prompts for medical and scientific query handling • Conducted red-teaming assessments to flag failure modes

2024 - Present

Education

Work History