Femi C.

Key Skills

Software

Other

Top Subject Matter

Computer vision for transit/vehicle identification

NLP annotation for conversational AI

Operational/logistics data auditing and structured record quality

Top Data Types

Image

Document

Text

Top Task Types

Bounding Box

Entity (NER) Classification

Polygon

Segmentation

Classification

Tracking

Point/Key Point

Freelancer Overview

Data Labeling & AI Training Specialist (Specialized Track/Project) – Tech4Africans Cohort Program. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science, Benson Idahosa University. AI-training focus includes data types such as Image and Document and labeling workflows including Bounding Box, Entity (NER) Classification, and Evaluation.

Labeling Experience

Data Labeling & AI Training Specialist (Specialized Track/Project)

ImageBounding BoxPolygon

No description provided.

2026 - Present

Data Labeling & AI Training Specialist (Specialized Track/Project) – Tech4Africans Cohort Program

OtherImageBounding BoxEntity (NER) Classification

Served as a Data Labeling & AI Training Specialist, performing high-precision image annotation for transit and vehicle identification models. Applied bounding boxes, keypoint marking, and object segmentation according to granular client guidelines. Maintained dataset quality by reducing errors, bias, and inconsistencies through cross-verification before delivery.• Labeled multi-modal datasets including image components per client instructions• Followed guideline compliance checks and accuracy verification steps• Annotated computer vision elements supporting identification workflows• Audited outputs for consistency prior to handoff

2026 - Present

Logistics Data & Operations Coordinator – Foothold academy

OtherDocument

As a Logistics Data & Operations Coordinator, managed dense, high-volume asset data logs for corporate fleet and driver transit schedules. Audited vehicle maintenance logs and daily reporting sheets to identify operational anomalies and eliminate scheduling conflicts. Reviewed international financial identifiers and trade data logs to detect formatting discrepancies for flawless processing. • Maintained data integrity across spreadsheet-based datasets• Conducted auditing and discrepancy detection on structured logs• Standardized SOP-aligned data workflows for consistent reporting• Supported preparation of accurate operational records for downstream processing

2025 - Present

Education

Work History