Chidera O.

Key Skills

Software

CVAT

Label Studio

Labelbox

Scale AI

Appen

SuperAnnotate

Top Subject Matter

Artificial Intelligence / Technology / Software

Healthcare / Medical / Life Sciences

Media / Entertainment / Content Creation

Top Data Types

Video

Image

Top Task Types

RLHF

Bounding Box

Polygon

Point/Key Point

Polyline

Object Detection

Text Generation

Evaluation/Rating

Red Teaming

Text Summarization

Prompt + Response Writing (SFT)

Freelancer Overview

Domain Expert operating at the intersection of complex medical sciences, high-precision computer vision annotation, and Reinforcement Learning from Human Feedback (RLHF) architectures. Bringing a unique combination of clinical analytical rigor (MBBS, Distinction) and over 4 years of micro-level video frame manipulation as a Motion Director. This background enforces a strict zero-error-tolerance policy across high-density datasets and an innate ability to master intricate labeling rubrics with extreme attention to detail. Proven capability in executing advanced multi-layer semantic segmentation, bounding boxes, object tracking, and video classification using industry platforms like CVAT, Label Studio, and Encord. Highly experienced in text/multimodal LLM evaluation, model red-teaming, and safety alignment. Expertly leverages deep technical knowledge of motion mechanics and tracking software (like Adobe After Effects) to deliver flawless temporal precision on sub-second video data transitions. Fully remote and globally available.

Labeling Experience

AI Data Annotator & RLHF Specialist — Independent AI data projects

CVATVideoRLHF

Evaluated, scored, and ranked LLM text and multimodal outputs using multi-dimensional rubrics focused on safety, coherence, and factual truthfulness. Executed rigorous model red-teaming protocols to identify edge-case failures, labeling bias, and safety violations. Maintained verifiable 98.5% accuracy and internal consistency across high-density video datasets and associated annotations. • RLHF evaluation and LLM output ranking • Red teaming and bias/safety violation detection • Temporal/frame-accurate video classification and annotation • Consistency-focused quality assurance across datasets

2024 - Present

Founder & Motion Director — Motion/data QA and annotation workflow supervision (Runway AI & CapCut AI)

VideoSegmentation

Conducted frame-by-frame motion masking and rotoscoping to support semantic segmentation workflows for video assets. Supervised technical workflows for B2B tech and AI platforms integrating generative automation tools. Ensured strict rubric adherence and zero-error-tolerance quality controls across distributed operations. • Video annotation including motion masking and rotoscoping • Frame-accurate tracking mapped to segmentation labels • Inter-annotator agreement and edge-case documentation • Quality assurance checkpoints for consistency

2022 - Present

Freelance Media Annotation & Motion Specialist — Client image/video labeling preparation

OtherImageClassification

Performed image/video classification and data preparation to produce high-precision short-form visual assets. Maintained strict 48-hour delivery windows while supporting multiple parallel client projects. Executed micro-level spatial tracking and interface layer mapping to preserve structural continuity across sequences. • Image/video classification dataset preparation • Micro-level spatial tracking and interface mapping • Short-form visual asset generation for labeling workflows • Timely delivery and continuity preservation across sequences

2020 - 2022

Education

Work History