Emmanuel M.

Key Skills

Software

Other

Mercor

OneForma

Top Subject Matter

AI training datasets for text classification and entity labeling

AI video labeling and quality evaluation

AI training datasets for audio collection and annotation

Top Data Types

Text

Image

Video

Audio

Document

Top Task Types

Classification

Data Collection

Question Answering

Entity (NER) Classification

Audio Recording

Freelancer Overview

AI Data Annotator (Freelance/Project-Based, Remote) — Text annotation and classification. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science, University of Uyo (2025). AI-training focus includes data types such as Text, Video, and Audio and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

AI Data Annotator (Remote) — Audio collection/annotation (Freelance/Project-Based)

OtherAudioData CollectionAudio Recording

Contributed to audio data collection and annotation tasks for AI training datasets. Recorded over 12 hours of high-quality audio samples to support dataset creation and downstream model training. Maintained quality control standards to ensure recordings met expectations for training data usefulness. • Audio data collection and annotation for AI training workflows. • Recorded 12+ hours of high-quality audio samples. • Quality checks for consistency and clarity. • Continued guideline-based work across multiple remote projects.

2025 - Present

AI Data Annotator (Remote) — Video labeling (Freelance/Project-Based)

OtherVideoClassification

Performed video labeling tasks while maintaining strong accuracy and strict adherence to project guidelines and annotation standards. Applied consistent labeling criteria to support AI training workflows and dataset reliability. Completed quality control checks to ensure annotations remained consistent and detail-sensitive across remote projects. • Video labeling as part of multi-modal annotation work for AI training datasets. • Guideline compliance and accuracy focused labeling. • Consistency maintenance across repetitive, detail-sensitive tasks. • Supported competitive challenge performance (Top 20/Top 15) in high-volume environments.

2025 - Present

AI Data Annotator (Remote) — Image labeling (Freelance/Project-Based)

OtherImageClassification

Completed image labeling tasks with strong accuracy and strict adherence to project guidelines and annotation standards. Supported dataset quality improvement by applying consistent labeling decisions across image-related portions of multiple challenges. Performed quality checks to maintain accuracy and reduce annotation variance in high-volume work. • Image labeling as part of the LiteracyForge Challenge (Aug 2025–Sep 2025). • Guideline-based classification decisions for image-related dataset components. • Consistency checks across repetitive annotation tasks. • Ranked among top performers in competitive challenges with 500+ participants.

2025 - Present

AI Data Annotator (Remote) — Text classification and annotation (Freelance/Project-Based)

OtherTextClassificationEntity (NER) Classification

Performed text annotation and classification tasks for AI model training workflows while maintaining consistency across large volumes of structured and unstructured data. Ensured guideline compliance and accuracy during literacy, civic, and property-description review challenges. Achieved top rankings in competitive annotation events, demonstrating speed, consistency, and precision. • Text and image annotation for the LiteracyForge Challenge (Aug 2025–Sep 2025). • Annotation and review of civic-focused datasets for the Civic Lens Challenge (Oct 2025). • Text classification and categorization for the TripFit Challenge (Feb 2026–Mar 2026). • Quality control through structured evaluation and content interpretation based on project guidelines.

2025 - Present

Education

Work History