ADCI

Editorial, Writing, Content Management, Machine Learning Data Operatio, Retail

AIDataTrainer(Portuguese)

₹6–9L ~AI est. Gurugram, Haryana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Data Trainer (Portuguese) at ADCI. Skills: AI, LLMs, Data annotation, Portuguese. Contribute to projects involved in generating training datasets. Create content that generates text-based user input to”

What You'll Achieve.

Enhance customer experience (CX) quality; Deliver a superior shopping experience; Empower Amazon's LLMs

Industry & Context.

Editorial, Writing, Content Management, Machine Learning Data Operatio, Retail
Problems you'll solve

Analytical thinking; Problem-solving

What They're Looking For.

Must Have

Bachelor's degree, 1+ years of experience in content or editorial writing, Proficient in Portuguese & English language, Demonstrate language proficiency in all the following: verbal, writing, reading and comprehension, Required language level: Graduation2/ B2. 2 Certification, Outstanding communication skills, Organizational skills, Proficient in analytical thinking, Proficient in problem-solving, Comfortable working in a fast-paced, highly collaborative, and dynamic work environment

Nice to Have

Post Graduation degree in Portuguese Language, Previous experience as AI trainers, Knowledge of AI and NLP, Cambridge certifications, Experience with Artificial Intelligence interaction, Prompt generation experience, Open AI's experience

What You'll Do.

Contribute to projects involved in generating training datasets

Create content that generates text-based user input to

Validate data based on specific annotation guidelines

Perform data collection and curation

Generate high-quality data for AI models

Work closely with team members and managers to

Explore opportunities for automation

Enhance productivity and effectiveness of data generation and

How You'll Work.

Team & Collaboration

Shopping feature teams; Team members; Managers

Communication Scope

Verbal communication; Writing communication; Reading comprehension

Full Job Description

Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About the team Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Arti

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