HLE Lead / Raters for GenAI Data

Job Description

This is a remote position.

Role : HLE Lead / Raters for GenAI Data

Remote- USA

Contract

Key Responsibilities :

• Engage with GEN AI researchers and engineers to understand data collection / evaluation

requirements

team

researcher / engineer’s goal

highest quality

and up-to-date information.

curating existing content to be optimized for the LLM evaluation and training. This includes writing

deep researched problems that currently best of models are not able to answer.

integrity of the content, ensuring accuracy and mitigating the risk of the LLM generating

misinformation once trained with this data.

Required Qualifications & Experience :

○Masters with distinction, or preferably PhDs with deep domain expertise in finance,

engineering, physics, chemistry and medicine. A graduate degree is also preferred

however with extensive experience in the respective field.

○Graduated from a top-tier US and international university or institute

Requirements

Core Competencies & Skills :

○Expertise in developing high-quality, original problems in the following domains

○finance

○engineering

○science /  physics

○science /  chemistry

○science /  medicine

clear, concise, and engaging content across various formats (articles, blogs, technical

documentation).

sources, and meticulously verify information for accuracy and to mitigate biases.

of AI-generated content and showcases a distinct human voice.

proofreading to deliver polished, error-free work.

with teams, and convey complex information to diverse audiences.

learning, deep learning, natural language processing (NLP), and how LLMs work, including

their capabilities and limitations.

quality outputs from LLM models, often described as essential for technical writers in an AI

context.

refine, and optimize content.

implications of AI-generated content, with a focus on mitigating bias and promoting

responsible use.

cleaning, and transformation for LLM training

Requirements

Sector evals - Finance - Asset management Sector evals – Marketing Sector evals – Retail Sector evals – Insurance Coding In-Country Cultural & Linguistic Experts, Academic & Domain Experts Qualification : Masters / PhD or comparable experience