Anthony M.

Key Skills

Software

Micro1

SuperAnnotate

Mercor

Other

Top Subject Matter

AI model output evaluation and supervised labeling for language tasks.

LLM dataset annotation and quality-focused labeling.

AI response evaluation and rubric-based labeling.

Top Data Types

Text

Video

Document

Top Task Types

Classification

Tracking

Data Collection

Freelancer Overview

Micro1 – AI Generalist & Contributor. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1, SuperAnnotate, and Mercor. Education includes Bachelor of Science, Enugu State University of Science and Technology and Secondary School Diploma, St. Michael's Boys Secondary School. AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Atlas Capture – Data Annotation Contributor

OtherVideoData Collection

Contributed to data annotation by labeling video clips and verifying that outputs matched project requirements. Focused on consistency across annotation guidelines to support usable training or evaluation datasets. Performed validation steps to ensure labeled segments aligned with expected criteria. • Labeled video clips according to provided instructions. • Ensured consistency across project requirements. • Checked labeling outputs for guideline compliance. • Supported dataset readiness through validation.

2025 - Present

Outlier – AI Training Contributor

OtherVideoTracking

Evaluated AI model responses and identified ambiguities to support model training improvement. Labeled video and audio data while ensuring synchronization and meeting quality standards. Performed text analysis, reasoning, and validation tasks to maintain dataset accuracy. • Labeled video/audio data with attention to sync quality. • Flagged ambiguous areas in model responses for review. • Performed reasoning and validation for text-related tasks. • Ensured labeled items met defined quality thresholds.

2025 - Present

Mercor – AI Data Annotator / AI Training Contributor

MercorText

Evaluated AI model responses using structured scoring rubrics. Applied objective judgment and logical reasoning to assess response quality against the task criteria. Delivered high-quality labeled evaluations within required turnaround times. • Scored responses according to predefined rubric dimensions. • Assessed correctness and quality of model outputs. • Completed evaluations within project time constraints. • Ensured consistency with the scoring framework.

2025 - Present

SuperAnnotate – AI Data Annotator / AI Training Contributor

SuperAnnotateTextClassification

Completed annotation and AI training contribution tasks involving reasoning, classification, and transcription activities. Followed detailed platform guidelines and adapted to changing workflows while ensuring consistency in labeled results. Conducted quality checks to confirm compliance with task instructions. • Performed classification and reasoning-based annotation. • Completed transcription and structured annotation tasks. • Verified consistency with project-specific guidelines. • Participated in iterative workflow updates based on feedback.

2025 - Present

Micro1 – AI Generalist & Contributor

Micro1Text

Reviewed and labeled text content while evaluating AI-generated outputs for correctness, clarity, relevance, and potential bias. Performed quality assurance and data validation checks against project requirements and guidelines. Maintained strong accuracy and reliability while meeting deadlines across iterative tasks. • Applied scoring and review rubrics to judge output quality. • Ensured labeled content followed consistency rules and evolving instructions. • Checked for relevance and clarity issues in model responses. • Documented validation outcomes to support downstream use.

2025 - Present

Education

Work History