Solomon E.

Key Skills

Software

No software listed

Top Subject Matter

Multimodal AI training & evaluation (LLM/RLHF-style quality assurance, SxS model comparisons, hallucination/artifact detection)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Video

Document

Top Task Types

RLHF

Red Teaming

Freelancer Overview

Multimodal AI Training & Evaluation Specialist (Freelance Platforms/Remote). Professional background includes roles such as Multimodal AI Training & Evaluation Specialist. AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Multimodal AI Training & Evaluation Specialist - Freelance Platforms

ImageRLHFRed Teaming

Evaluated and ranked multimodal LLM outputs for accuracy, alignment, safety, and text-to-media fidelity while documenting quality issues. Audited AI-generated videos for temporal consistency, motion artifacts, and compliance with prompt requirements. Assessed AI-generated imagery for visual distortions, anatomical correctness, and adherence to detailed prompt constraints. • Conducted side-by-side comparisons of text and media generation models • Wrote concise justifications to inform reward-model optimization • Flagged hallucinations, data anomalies, and policy violations across text, image, and video datasets • Applied strict guidelines to ensure consistent QA and labeling standards

Present

Multimodal AI Training & Evaluation Specialist (Freelance Platforms/Remote)

Text

Performed multimodal evaluation and rating of AI outputs for accuracy, alignment, safety, and overall fidelity to prompts across text, images, and videos. Conducted hallucination and artifact detection by auditing generated media for compliance with guideline constraints. Wrote concise justifications to support reward-model optimization during side-by-side (SxS) comparisons of generation systems. • Rank and rate LLM responses and multimodal generations (text, image, video) • Audit video temporal consistency, motion artifacts, and frame quality against prompts • Detect visual/textual distortions such as anatomical errors and prompt-constraint violations • Flag dataset anomalies, hallucinations, and policy violations using strict guidelines

Present

Education

Work History