Michael B.

Key Skills

Software

Don't disclose

Top Subject Matter

Web3 / NFT community moderation and content quality evaluation

DeFi protocol documentation and social content quality review (incl. AI-generated drafts)

Top Data Types

Text

Video

Image

Top Task Types

Text Generation

Freelancer Overview

Content Reviewer & Quality Evaluator (Moderator for Web3/NFT projects). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Collab Manager & Community Moderator, 17+ Web3 / NFT Projects (2022) and 17+ Web3 / NFT Projects (Collab Manager), Content Reviewer & Quality Evaluator (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Text Generation.

Labeling Experience

Co-Founder & Content Quality Lead (Goldfish Protocol)

Don't discloseTextText Generation

Reviewed and evaluated AI-generated and human-written content drafts for accuracy, consistency, and quality prior to publication. Applied structured criteria to determine whether content met defined standards, rewriting or flagging materials that failed quality thresholds. Organized and classified protocol documentation, governance proposals, and social content across multiple channels in a remote, asynchronous workflow. • Assessed LLM-like outputs using defined quality and consistency standards • Produced edits or rejection flags when drafts did not meet quality thresholds • Managed classification/organization of protocol and governance content • Exercised independent judgment without direct oversight while ensuring publication readiness

2023 - Present

Content Reviewer & Quality Evaluator (Moderator for Web3/NFT projects)

Don't discloseText

Reviewed and classified large volumes of incoming collaboration and community submissions using consistent, guideline-driven criteria. Identified ambiguous or out-of-guideline content and documented written rationales for accept/reject/escalate decisions while maintaining low error rates. Followed project-specific moderation and quality rule sets, context-switching between multiple environments without confusion. • Applied structured accept/reject/escalate labeling decisions based on detailed guidelines • Flagged edge cases, spam, misinformation, and policy violations with documented reasoning • Maintained high throughput while preserving accuracy and audit-traceable judgment • Performed real-time moderation and content classification for multiple streams

2022 - Present

Education

Work History