Akachukwu M.

Key Skills

Software

Don't disclose

Appen

Top Subject Matter

Text-based communication labeling (NER, sentiment, intent) for marketing and digital communications projects

Audio labeling for intent/sentiment and spoken-content classification

Image labeling for object identification and scene/category classification

Top Data Types

Text

Audio

Image

Document

Top Task Types

Entity (NER) Classification

Classification

Object Detection

Bounding Box

Transcription

Freelancer Overview

Senior Data Labeling Specialist | Jabi, Abuja (Brandz Digital Marketing Agency). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Engineering (Honours), Federal University of Technology, Minna. AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER) Classification, Classification, and Object Detection.

Labeling Experience

Senior Data Labeling Specialist | Jabi, Abuja (Brandz Digital Marketing Agency)

Don't discloseImageObject Detection

Executed image annotation tasks including object identification and scene classification while maintaining strict compliance with annotation schemas. Applied multi-class and multi-label categorization rules consistently to produce accurate labeled image datasets. Verified labeling quality through reviews that flagged errors and ensured inter-annotator agreement remained above project thresholds. • Annotated images for objects and scene/category labels per project guidelines • Ensured schema compliance for high-volume labeling with accurate categorization • Conducted quality reviews to identify mislabeled entries and inconsistencies • Tracked and escalated edge cases to support guideline refinement

2025 - 2025

Senior Data Labeling Specialist | Jabi, Abuja (Brandz Digital Marketing Agency)

Don't discloseAudioClassification

Led audio dataset labeling work for spoken content, including speech segment labeling and categorization according to project-specific schemas. Ensured consistent transcription-adjacent labeling decisions by applying defined linguistic and semantic categories. Conducted quality review of labeled batches to detect mislabels, schema deviations, and inconsistencies, then provided corrective feedback to maintain standards. • Labeled speech segments and categorized spoken content by functional/semantic tags • Maintained strict adherence to multi-class and multi-label classification rubrics • Performed dataset quality reviews and recorded corrective actions for issues • Escalated ambiguous or out-of-scope samples with documentation to project leads

2025 - 2025

Senior Data Labeling Specialist | Jabi, Abuja (Brandz Digital Marketing Agency)

Don't discloseTextEntity (NER) Classification

Served as a Senior Data Labeling Specialist leading NER tagging for large-scale text corpora and ensuring label taxonomy compliance throughout the workflow. Applied consistent entity extraction categories (e.g., persons, organisations, locations, dates, and domain-specific terminology) using defined guidelines and rubrics. Performed structured quality checks to improve correctness and inter-annotator alignment while tracking discrepancies for resolution. • Applied named entity recognition (NER) tagging across extensive written datasets • Followed complex annotation schemas and guideline interpretation for entity classification • Supported calibration and edge-case identification with clear documentation for updates • Produced audit-ready reports on labeling progress and quality review outcomes

2025 - 2025

Data Labeling Analyst | Abuja, FCT (TNR Design)

Don't discloseAudioTranscription

Labeled audio datasets by segmenting recordings, transcribing spoken content, and classifying speech according to defined linguistic and semantic categories. Maintained precision during extended labeling sessions while following categorical tags and project rubrics. Contributed to quality assurance by reviewing and validating peer-labeled batches for compliance and accuracy. • Segmented audio into defined units and applied categorical tags • Transcribed and classified spoken content by linguistic/semantic categories • Ensured precision and consistency across extended labeling sessions • Participated in peer validation for schema compliance and quality tracking

2023 - 2024

Data Labeling Analyst | Abuja, FCT (TNR Design)

Don't discloseImageBounding Box

Annotated image datasets using bounding boxes, region-of-interest tagging, and categorical labels aligned with project annotation guidelines. Identified objects, attributes, and spatial relationships with careful adherence to labeling rules across extended workloads. Supported continuous improvement by flagging recurring edge cases and ambiguous labeling scenarios to refine schemas. • Applied bounding box and ROI tagging for object/attribute labeling • Labeled spatial relationships according to annotation guidelines • Maintained high accuracy and consistency across multi-project schedules • Provided feedback on edge cases to help refine annotation schemas and guidelines

2023 - 2024

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Education

Work History