Wave

Key Skills

Software

Other

Top Subject Matter

AI model assessment and human feedback evaluation

Prompt engineering for AI training and evaluation

Multimodal AI training

Top Data Types

Text

Video

Audio

Image

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Freelancer Overview

AI Evaluator / AI Trainer (prompt + output evaluation). Core strengths include Other. AI-training focus includes data types such as Text, Video, and Audio and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Trainer / Evaluator (voice AI workflows)

OtherAudio

Built and tested voice AI system workflows with quality checks focused on instruction following and output verification. Designed evaluation approaches to assess reliability of generated voice-related outputs within product pipelines. Applied safety concepts and output verification practices to reduce risk in audio and agent contexts. • Evaluated voice AI responses for quality and compliance • Applied AI safety concepts and verification checks • Tested audio-capable agent flows and reasoning behavior • Incorporated feedback-driven refinement into evaluation loops

Present

Multimodal AI Trainer / Evaluator (text-to-video generation)

OtherVideoText Generation

Produced multimodal generation workflows by leveraging text-to-video and video model prompting for Sora and Veo. Created evaluation and governance-oriented testing routines for multimodal outputs to ensure the generated artifacts follow the intended instructions. Integrated multimodal capability into broader agent and retrieval workflows to support end-user-facing production behavior. • Orchestrated text-to-video generation prompts for Sora/Veo • Evaluated multimodal output quality via instruction and response checks • Connected multimodal generation to agent testing and governance • Supported multimodal use cases (voice/image/video) within AI products

Present

Prompt Engineering / AI Trainer (prompt optimization workflow)

OtherTextPrompt + Response Writing (SFT)

Developed and refined prompt engineering workflows to drive consistent generation behavior for business, content, software, training, and agent orchestration use cases. Built structured prompt templates and context engineering strategies to improve output quality and controllability. Optimized prompts through iterative response analysis and quality scoring across OpenAI, Anthropic Claude, and Google Gemini systems. • Created advanced prompting systems and structured prompt libraries • Ran iterative prompt experimentation with response quality scoring • Authored prompts for training workflows and agent orchestration • Used prompt platforms (e.g., AIPRM) for experimentation and workflow optimization

Present

AI Evaluator / AI Trainer (prompt + output evaluation)

OtherText

Created AI evaluation workflows for assessing response quality across instruction following, context adherence, and hallucination risk. Applied human feedback evaluation concepts to score outputs and verify instruction compliance for agent and model responses. Implemented iterative testing loops to refine prompts and improve evaluation reliability across multiple LLM providers. • Designed quality scoring and response quality assessment routines • Conducted instruction following and context engineering evaluations • Performed hallucination detection and output verification • Built agent testing procedures to measure performance across prompting strategies

Present

Education

Work History