Leonard K.

Key Skills

Software

Remotasks

Other

Top Subject Matter

Multimodal AI training data annotation and evaluation (text-image-video)

Rlhf/sft Domain Expertise

Trust & Safety auditing

Top Data Types

Text

Image

Video

Document

Top Task Types

RLHF

Fine-tuning

Freelancer Overview

Freelance AI Data Quality Specialist & MLOps Contributor (Upwork/Remotasks/Academic Clients). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Other. Education includes Master of Science, Northeastern University (2025) and Bachelor of Science, University of Embu (2023). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including RLHF, Fine-tuning, and Evaluation.

Labeling Experience

Part Time Tutor (Data Science, IT & Chemistry) — Data analysis and dataset quality/validation training

OtherText

Served as a part-time tutor designing and delivering undergraduate practical content related to dataset cleaning, anomaly detection, and quality validation. Mentored students on analytical accuracy and contextual interpretation while using Python and SQL workflows for dataset curation. Focused instruction on validating chemical/logging datasets and verifying experiment context through cross-checks. • Taught dataset cleaning, anomaly detection, and quality validation concepts • Guided students on analytical accuracy and contextual interpretation • Built labs using Python (Pandas/NumPy), SQL, Excel, and lab tools • Supported evaluation through student-centered hybrid facilitation

2025 - Present

Freelance AI Data Quality Specialist & MLOps Contributor (Upwork/Remotasks/Academic Clients)

RemotasksTextRLHFFine-tuning

Conducted supervised fine-tuning (SFT) and RLHF support by annotating and validating complex multimodal datasets. Performed cross-modal verification of video text pairs and temporal auditing to ensure logical consistency and cultural nuance alignment. Collaborated on Trust & Safety workflows by identifying bias and safety risks in combined image+text media for policy enforcement. • Annotated and validated multimodal (text, images, video) training data • Executed cross-modal and temporal consistency checks for video-text pairs • Reported annotation patterns and model weaknesses to engineering teams • Authored research proposals and papers to document annotation and evaluation outcomes

2022 - Present

Laboratory Assistant (Analytical Chemistry & Data Logging)

OtherDocument

Assisted with analytical chemistry data logging and cross-verification of multimodal experiment records. Detected anomalies in datasets using pixel-level attention to support accuracy in lab reports and research outputs. Maintained organized data repositories to enable downstream statistical analysis and quality assurance. • Logged precise measurements for chemical experiments • Cross-verified multimodal records (images and textual descriptions) • Conducted pixel-level anomaly detection for dataset accuracy • Maintained clean repositories supporting quality assurance and analytics

2021 - 2021

Education

Work History