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Timothee Ngoubo

Queue Manager - AI Operations (RLHF/Red Teaming/SFT)

France flagParis, France
ExpertAppenClickworkerLabelbox

Key Skills

Software

AppenAppen
ClickworkerClickworker
LabelboxLabelbox
LionbridgeLionbridge
Micro1
OneFormaOneForma
RemotasksRemotasks
TelusTelus

Top Subject Matter

AI Model Alignment and Multimodal Data

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

RLHFRLHF
Text GenerationText Generation
Text SummarizationText Summarization
Red TeamingRed Teaming
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Queue Manager - AI Operations (RLHF/Red Teaming/SFT). Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI. Education includes Bachelor of Arts, University of Lille 1 (2009) and Master of Arts, Sorbonne University (2014). AI-training focus includes data types such as Audio and labeling workflows including RLHF.

ExpertEnglishFrench

Labeling Experience

Scale AI

Queue Manager - AI Operations (RLHF/Red Teaming/SFT)

Scale AIAudioRLHF
Managed large-scale RLHF and Red Teaming projects focusing on multimodal (audio and text) data annotation. Supervised the validation and feedback process to ensure high-quality model alignment and accurate label generation. Oversaw specialized teams in iterative workflows for SFT (Supervised Fine-tuning) and reinforcement learning tasks. • Coordinated more than 20 concurrent audio and multimodal projects. • Maintained rigorous quality assurance and peer review standards. • Conducted detailed performance analysis for AI output accuracy. • Ensured continuous optimization of data labeling and feedback loops.

Managed large-scale RLHF and Red Teaming projects focusing on multimodal (audio and text) data annotation. Supervised the validation and feedback process to ensure high-quality model alignment and accurate label generation. Oversaw specialized teams in iterative workflows for SFT (Supervised Fine-tuning) and reinforcement learning tasks. • Coordinated more than 20 concurrent audio and multimodal projects. • Maintained rigorous quality assurance and peer review standards. • Conducted detailed performance analysis for AI output accuracy. • Ensured continuous optimization of data labeling and feedback loops.

2024 - 2026

Education

S

Sorbonne University

Master of Arts, Musicology

Master of Arts
2014 - 2014
U

University of Lille 1

Bachelor of Arts, International Marketing

Bachelor of Arts
2009 - 2009

Work History

E

Ensemble Luminis

Musical Director & Composer

Paris
2012 - Present