Naim O.

Key Skills

Software

Labelbox

Mercor

Scale AI

Remotasks

Internal/Proprietary Tooling

CVAT

Label Studio

Argilla

AWS SageMaker

Other

Snorkel AI

SuperAnnotate

V7 Labs

Top Subject Matter

Growth Marketing & Creative Strategy

AI Red Teaming & Rubric Calibration

Front-End Code Generation (RLHF)

Top Data Types

Text

Video

Audio

Top Task Types

Segmentation

Classification

Text Generation

RLHF

Red Teaming

Transcription

Evaluation/Rating

Fine-tuning

Text Summarization

Question Answering

Object Detection

Bounding Box

Point/Key Point

Entity (NER) Classification

Polygon

Polyline

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Senior AI Specialist & Domain Expert. Brings 11+ years of professional experience bridging strategic marketing, creative direction, and complex data analytics with advanced AI model training. Currently executing high-tier RLHF, red teaming, and multimodal alignment contracts utilizing highly secure proprietary tooling for OpenAI (via Mercor), Scale AI (Outlier), and Labelbox (Alignerr). Served as a lead beta tester and ambassador for Limewire's generative AI suite, optimizing pre- and post-launch model behavior. Education & Certifications: Bachelor of Science, University of Maryland Global Campus (2018); Certified ScrumMaster, Scrum Alliance (2022). Applies agile frameworks to manage rigorous, time-sensitive dataset pipelines. AI-Training Core Competencies: * Data Types: Multimodal (High-Fidelity Audio/Visual), Text, and Front-End Code Generation (HTML/CSS). Workflows: Advanced RLHF, Adversarial Red Teaming, Supervised Fine-Tuning (SFT), Multi-Dimensional Rubric Calibration, and Output Factuality Auditing.

Labeling Experience

AI Model Evaluator & Prompt Engineer

Text

As an AI Model Evaluator & Prompt Engineer at Outlier AI, Alignerr, and Mercor, I performed rubric-based evaluation of language models and multimodal AI systems. My work included assessing outputs for clarity, correctness, and alignment, as well as conducting red teaming and adversarial testing to improve robustness. I also crafted prompts and detailed annotations to fine-tune and align next-generation AI systems.• Evaluated LLMs, agentic tools, and multimodal models with structured rubrics • Reviewed and scored model responses for multiple quality dimensions • Conducted dataset testing for marketing-related training flows • Wrote high-quality prompts and detailed annotation for fine-tuning pipelines

2023 - Present

Education

Work History