Thierry M.

Key Skills

Software

Other

Appen

Remotasks

Scale AI

Top Subject Matter

Multilingual AI safety

policy compliance

and supervised learning dataset preparation

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Freelancer Overview

Data Annotation & Quality Assurance Specialist (Independent/Contract-Based AI Projects). Core strengths include Other, Appen, and Remotasks. Education includes Bachelor of Arts, University of Nairobi. AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Data Annotation Specialist (Appen | Remotasks | Scale AI)

AppenImageClassification

Contributed to structured dataset validation across text, image, and audio modalities using safety and quality-focused annotation guidelines. Performed safety labeling and content moderation for harmful vs safe classification within multilingual datasets. Participated in calibration cycles and annotation audits to maintain scoring consistency and high inter-annotator agreement. • Multimodal structured dataset annotation • Safety labeling (harmful vs safe) • Calibration sessions for consistent scoring • Annotation audits and guideline-driven QA

2024 - 2024

AI Trainer & Senior Data Annotation Specialist (Appen | Remotasks | Scale AI)

AppenTextRLHF

Performed response ranking and pairwise model comparison tasks to support LLM alignment and optimization. Evaluated AI outputs for helpfulness, harmlessness, factuality, bias, and policy compliance while detecting hallucinations via structured fact-checking. Applied safety labeling and content moderation across multilingual datasets and rewrote AI-generated responses to enhance clarity, accuracy, and safety alignment. • Pairwise model comparison and response ranking • Helpful/harmless/factuality/bias/policy evaluation • Hallucination detection and structured fact-checking • Safety labeling and content moderation for multilingual data

2024 - 2024

Data Annotation & Quality Assurance Specialist (Independent/Contract-Based AI Projects)

OtherText

Conducted structured prompt evaluations and response grading for supervised learning dataset quality and policy alignment. Flagged biased, unsafe, or non-compliant outputs using AI safety standards. Delivered consistent labeling outputs under audit review while maintaining strict data privacy and NDA compliance. • Labeled and validated structured datasets (CSV/Excel) • Performed intent classification and sentiment labeling • Graded AI responses under evolving policy frameworks • Identified unsafe or biased content for compliance

2023 - 2023

Education