David A.

Key Skills

Software

Other

Top Subject Matter

E-commerce operations and AI tool evaluation

General data analysis supporting AI training workflows

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Founder & Operations Manager (AI tools familiarity; quality evaluation for AI training-style feedback). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Engineering, Nnamdi Azikiwe University (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Founder & Operations Manager (AI tools familiarity; quality evaluation for AI training-style feedback)

OtherText

Served as an AI training and quality-focused evaluator within business operations, applying careful judgment to assess outputs and ensure standards. Used AI tools to understand system behavior and recognize where models may fail, informing feedback and improvement. Focused on identifying issues early and providing clear, reasoned notes suitable for iterative AI training workflows. • Reviewed and evaluated quality of customer-facing information for accuracy and consistency. • Resolved customer issues by translating observed problems into actionable feedback. • Monitored patterns in day-to-day operations to detect anomalies and shortcomings. • Communicated detailed written feedback to support continuous improvement cycles.

2022 - Present

Freelance Data Analyst (dataset quality checks; anomaly identification)

OtherTextData Collection

Worked as a freelance data analyst with repetitive, high-volume data work aligned with AI training quality needs. Collected, cleaned, and analyzed datasets to maintain high accuracy and integrity, supporting reliable downstream labeling or model evaluation. Identified anomalies and inconsistencies that map directly to flagging errors in AI-generated outputs. • Collected and cleaned datasets while maintaining data integrity. • Produced structured reports and dashboards from raw data into insights. • Flagged anomalies and inconsistencies suitable for quality assurance in AI workflows. • Performed detailed checks on repetitive data tasks requiring sustained attention.

2024 - 2025

Education

Work History