Imani K.

Key Skills

Software

Don't disclose

Top Subject Matter

LLM output evaluation

Rlhf Domain Expertise

prompt engineering

Top Data Types

Text

Document

Top Task Types

RLHF

Classification

Freelancer Overview

AI Data Trainer & Research Contributor (Freelancer – Self-Employed, Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Business Administration, Daystar University (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF, Classification, and Content Moderation.

Labeling Experience

AI Evaluation Research Consultant - Freelancer

TextClassificationRLHF

Independent AI evaluation and research work supporting iterative improvements to large language model outputs. Applied RLHF-style ranking and comparative assessment to judge quality, alignment, and policy compliance. Built and stress-tested prompts, then produced structured reports and technical documentation for multi-criteria project guidelines. • Evaluated responses for accuracy, logical coherence, reasoning quality, and domain relevance • Engineered prompts to probe instruction following, classification, and generation capabilities • Performed content moderation and QA checks against safety and policy standards • Delivered technical writing, transcription, translation support, and research for evaluation pipelines

2022 - Present

AI Data Trainer & Research Contributor (Freelancer – Self-Employed, Remote)

Don't discloseTextRLHF

Provided human-evaluation of AI-generated text responses across multiple domains to measure accuracy, coherence, reasoning quality, and policy compliance. Applied RLHF-style ranking and comparative judgments between competing model outputs to support model alignment, safety, and helpfulness. Engineered and stress-tested prompts to probe model capability boundaries for training and iterative quality improvements. • Evaluated responses for factuality, logical structure, and overall quality • Ranked and compared competing outputs using RLHF evaluation principles • Performed content moderation and quality assurance against policy and safety criteria • Produced structured written reports and technical evaluations aligned to multi-criteria guidelines

2022 - Present

Education

Work History