Solomon I.

Key Skills

Software

Data Annotation Tech

Toloka

Top Subject Matter

Machine Learning (AI training, classification QA)

Technical writing and research synthesis for AI-assisted content generation

Top Data Types

Text

Image

Video

Top Task Types

Prompt + Response Writing (SFT)

Text Summarization

Classification

Text Generation

Data Collection

Freelancer Overview

Freelance AI Data Annotation & Training Specialist (Independent / Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, ChatGPT, and Claude. Education includes Bachelor of Engineering, Air Force Institute of Technology (AFIT) (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Virtual Assistant (AI-Augmented) — Nexus Assistants (Part-time)

TextPrompt + Response Writing (SFT)

Worked in an AI-augmented virtual assistant role focused on producing client-facing English documents and research reports using AI tools while maintaining accuracy and integrity. Integrated ChatGPT and Claude into writing workflows to accelerate drafting and support consistent, style-adherent outputs. Ensured 100% data integrity across tracked documents intended for decision-making and communication. • Drafted polished English communications and client-facing documents • Synthesized online research into concise, well-structured reports • Used ChatGPT/Claude to accelerate drafting while maintaining style and accuracy • Maintained strict data integrity across all tracked documents

2024 - Present

Freelance AI Data Annotation & Training Specialist (Independent / Remote)

Don't discloseText

Provided AI data annotation and training support by authoring structured annotation guidelines and QA notes for ML teams across 10,000+ tasks. Evaluated AI-generated outputs for logical accuracy, factual consistency, and clarity to ensure quality before delivery. Collaborated with remote QA specialists to review and refine content batches while meeting client standards and deadlines. • Authored annotation guidelines and QA documentation for consistent labeling • Assessed AI outputs for logic, factual consistency, and clarity • Applied strict content-quality standards for large-scale classification tasks • Participated in asynchronous QA collaboration to improve output batches

2023 - Present

Education

Work History