Ravi R.

Key Skills

Software

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Task Types

Question Answering

Red Teaming

Prompt + Response Writing (SFT)

Freelancer Overview

I am an experienced global recruitment specialist with a strong focus on AI hiring, data labeling, and annotation roles. Over the past 6+ years, I have successfully sourced, evaluated, and onboarded top talent for roles such as AI Trainers, Prompt Engineers, NLP Annotators, and LLM Writers for leading clients including Meta, Google, Amazon, Pinterest, and Kili. My experience spans the full recruitment lifecycle, from sourcing and screening to onboarding and compliance, across diverse geographies and time zones. I have hands-on expertise with tools like LinkedIn Recruiter, Dice, Monster, CEIPAL, JobDiva, and Bullhorn, and am skilled in managing annotation task coordination and domain-specific hiring for projects in computer vision, NLP, and e-commerce. My background also includes AI red teaming and adversarial testing, where I designed and evaluated prompts to improve model safety and robustness. I am passionate about building high-performing, diverse teams that drive innovation in AI and data-centric projects.

Labeling Experience

AI RED TEAMING SPECIALIST

MercorImageQuestion AnsweringRed Teaming

Why This Role Exists At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers. This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated. What You’ll Do Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing cons

2025

Education

Work History