Hamza L.

Key Skills

Software

Labelbox

CVAT

Other

Top Subject Matter

LLM and multimodal AI training (RLHF, evaluation, code review)

Multimodal computer vision fine-tuning annotation

Computer vision data labeling and evaluation training

Top Data Types

Text

Image

Document

Top Task Types

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

Bounding Box

Evaluation/Rating

Transcription

Data Collection

Fine-tuning

Polygon

Polyline

Prompt + Response Writing (SFT)

Freelancer Overview

AI Training Data Specialist | Outlier AI (Remote, Contract). Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and CVAT. Education includes a Bachelor's Degree, Faculty of Legal, Economic and Social Sciences, Ain Sebaâ (2024) and Baccalaureate, Mohamed VI High School, Sidi Moumen (2020). AI-training focus includes data types such as Computer Code, Programming, and Image and labeling workflows including Prompt + Response Writing (SFT), Fine-tuning, and Evaluation.

Labeling Experience

AI Training Data Specialist | Outlier AI (Remote, Contract)

OtherPrompt + Response Writing (SFT)

Annotated and evaluated outputs for large-scale LLM and multimodal AI model training. Wrote prompts and produced structured feedback for response quality, factuality, and formatting. Reviewed code-related outputs to support safe and correct model behavior. • Prompt writing for task tracks • Response ranking and factual verification • Code review and quality feedback • Output labeling with structured rubrics

2025 - Present

Data Annotator (Freelance) at Innodata Inc.

LabelboxTextClassification

I labeled, categorized, and validated text and speech data for AI and machine learning projects. My responsibilities included transcription, text annotation, quality assurance, and linguistic error correction. I worked remotely using prominent data labeling tools while maintaining high data accuracy. • Performed audio transcription and speech recognition validation. • Conducted text annotation and classification using established guidelines. • Completed data validation and quality assurance to ensure accuracy. • Used web-based environments such as Labelbox, CVAT, and Roboflow.

Present

AI data annotation and evaluation (CVAT Academy training)

CVATImage

Completed training and performed AI/data annotation work for computer vision projects. Gained evaluation-focused experience through model output assessment as part of training workflows. Applied consistency principles to improve label reliability for enterprise-scale deployments. • CVAT Academy training completion • Evaluation and quality-focused work • Computer vision labeling practices • Support for model training workflows

2024 - 2025

Education

Work History