Solomon J.

Key Skills

Software

Don't disclose

Appen

Top Subject Matter

Nlp Domain Expertise

Llms Domain Expertise

conversational agents

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

Prompt Engineer & Data Annotation Specialist (Remote, Gideontech.co). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Appen. Education includes Bachelor of Science, Niger Delta University. AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Prompt Engineer & Data Annotation Specialist (Remote, Gideontech.co)

Don't discloseTextPrompt + Response Writing (SFT)

Responsible for prompt engineering and AI output evaluation to support high-quality machine learning behavior. Created reusable prompt templates and improved task accuracy through structured testing and iteration. Worked closely with teams to refine annotation workflows and feedback loops. • Developed and optimized 700+ prompts for summarization, classification, and extraction. • Evaluated 3,000+ AI-generated outputs for tone, relevance, and hallucination. • Reduced invalid completions by 45% through quality checks. • Improved prompting accuracy by 26% and reduced prompt creation time by 43%.

2025 - Present

Data Annotator & AI Content Reviewer (Remote, Telus International)

Don't discloseText

Performed data annotation and AI content review by evaluating and tagging NLP outputs for quality and compliance. Identified problematic generations such as bias and hallucinations and provided actionable reviewer feedback. Supported refinement of scoring and evaluation protocols with structured, repeatable guidance. • Reviewed and tagged 10,000+ NLP outputs across QA, classification, and sentiment. • Identified 1,200+ biased or hallucinated outputs. • Increased dataset quality and ethical compliance through reviewer filtering. • Delivered structured feedback used to refine model scoring and evaluation protocols.

2024 - 2024

AI Data Contributor (Remote, Appen/Crowdgen)

AppenTextClassification

Contributed to AI training by labeling and verifying multi-modal samples for NLP and computer vision use cases. Followed linguistic and ethical guidelines to ensure dataset quality and consistency. Assisted with prompt-tuning activities intended to reduce annotation errors and improve training readiness. • Labeled and verified 20K+ text, audio, and image samples. • Participated in prompt tuning for LLM training. • Reduced annotation errors by 17% through improved prompt/label alignment. • Ensured compliance with linguistic and ethical guidelines during labeling.

2022 - 2023

Education

Work History