Ikechukwu I.

Key Skills

Software

Other

Appen

CVAT

Data Annotation Tech

Google Cloud Vertex AI

Img Lab

Labelbox

Mercor

Micro1

OneForma

Telus

Toloka

Label Studio

LabelImg

Encord

Top Subject Matter

Generative AI model evaluation and multimodal annotation quality assurance

Video-based QA dataset annotation and evaluation

Multimodal dataset annotation

Top Data Types

Text

Video

Image

Document

Top Task Types

Question Answering

Data Collection

Classification

RLHF

Red Teaming

Evaluation/Rating

Text Summarization

Object Detection

Computer Programming/Coding

Prompt + Response Writing (SFT)

Function Calling

Bounding Box

Text Generation

Freelancer Overview

AI Trainer (Contract) at Abaka AI. Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Engineering, Michael Okpara University of Agriculture (2016) and Certificate of National Service, National Youth Service Corps (2017). AI-training focus includes data types such as Text, Video, and Computer Code and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

AI Trainer (Contract) at Abaka AI

Text

Evaluated AI-generated outputs using standardized, multi-dimensional scoring rubrics to ensure high-quality model performance. Applied predefined guidelines to assess, compare, and rank multimodal outputs for quality and alignment. Validated structured outputs for correctness, schema integrity, and business logic compliance. • Performed preference ranking and output optimization for Generative AI systems • Documented edge cases and failure patterns and developed multiple-choice evaluation datasets • Conducted regression testing by simulating real-world workflows • Identified instruction conflicts, inconsistencies, and model errors to improve datasets and performance

2025 - Present

AI Trainer (Contract) at Atlas Capture

VideoQuestion Answering

Analyzed first-person video footage at precise timestamps to extract relevant visual evidence and generate context-aware responses. Produced evidence-based answers strictly grounded in observable content to prevent future-frame leakage. Evaluated question validity against available footage and flagged ambiguous or unanswerable queries to maintain dataset integrity. • Annotated and linked exact visual evidence to each response for traceability • Maintained high accuracy and consistency across large-scale annotation tasks • Adhered to strict project guidelines and quality standards • Ensured reliable QA dataset construction from the footage evidence

2025 - 2026

Data Annotator (Full-Time) at Hugo Tech

OtherData Collection

Annotated and refined large-scale multimodal datasets using detailed taxonomies and labeling guidelines for enterprise AI projects. Applied annotation standards across NLP, LLM, Generative AI, and Computer Vision to produce structured and consistent outputs. Contributed to prompt generation and 3D object mesh alignment to resolve spatial ambiguities. • Maintained 99.8%+ annotation accuracy exceeding benchmarks • Performed QA to identify inconsistencies, ambiguities, and edge cases • Made data-driven decisions when scenarios were ambiguous • Collaborated with teams to deliver on schedule

2023 - 2026

Education

Work History