HIRING: Top-Tier AI Data Annotation & Evaluation Specialists -- 2

We are building a high-performance team of elite AI annotation and evaluation professionals for advanced AI training and multimodal evaluation projects. This is NOT basic click-task annotation work. We are specifically looking for highly analytical, detail-oriented professionals capable of evaluating complex AI-generated outputs across domains such as: * software engineering * UX/UI and visual design * computer vision * multimodal AI * spreadsheets and documents * presentations and structured data * reasoning and ranking workflows Compensation: • Competitive hourly compensation (high-performing contributors may earn substantial weekly income) • Flexible remote work • Ongoing project opportunities What You Will Do: * Evaluate AI-generated outputs using structured rubrics * Compare multiple responses side-by-side and rank them from best to worst * Identify quality issues, inconsistencies, hallucinations, formatting problems, and usability concerns * Review multimodal outputs including images, documents, spreadsheets, presentations, and technical artifacts * Write concise evaluation rationales explaining scoring decisions * Perform calibration and quality-control tasks * Follow strict annotation and evaluation guidelines We Are Looking For Candidates With Backgrounds In: * Software Engineering * Machine Learning / AI * Computer Vision * UX/UI Design * Product Design * Data Science * Front-End Development * Technical Writing * Presentation Design * QA / Quality Assurance * Data Visualization * Enterprise Reporting Ideal Candidates: * Extremely detail-oriented * Strong pattern recognition and analytical skills * Able to follow complex instructions consistently * Strong written English communication * Comfortable working independently * Able to evaluate quality objectively * Familiar with AI systems, LLMs, or multimodal tools * Naturally able to identify weak outputs, inconsistencies, or poor usability Bonus Qualifications: * Experience with RLHF or AI model evaluation * Familiarity with Handshake AI, Scale AI, Outlier AI, DataAnnotation, Surge AI, or similar platforms * Experience evaluating AI-generated text, code, images, presentations, or structured data * Familiarity with tools such as Figma, Excel, PowerPoint, GitHub, VS Code, Jupyter, or AI workflows Important: This role is focused on quality evaluation, usability, aesthetics, structure, and consistency. Candidates should be comfortable making nuanced judgment calls using detailed rubrics and calibration systems. If interested, please send: 1. Resume or LinkedIn 2. Relevant specialization(s) 3. Examples of previous work or evaluation experience 4. Any experience with AI annotation, RLHF, AI evaluation, or data labeling 5. Tools/platforms you are most experienced with

Project ID: 40435951