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AI Data Trainer (Arabic), Operations Team

at Amazon

Back to all Data Science / AI / ML jobs
A
Industry not specified

AI Data Trainer (Arabic), Operations Team

at Amazon

GraduateNo visa sponsorshipData Science/AI/ML

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Join Alexa Shopping Operations to contribute to dataset generation and annotations for training AI models in Arabic. You will create content that generates text-based user input, validate data against annotation guidelines, and curate high-quality data for AI models. Work with your team to drive process efficiencies and explore automation, supporting RLHF and end-to-end LLM lifecycle across shopping features and locales.

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

We are open to hiring candidates to work out of one of the following locations:

Gurugram, HR


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 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

Basic Qualifications

- • Bachelor's degree in Arabic Language • 1+ years of experience in content or editorial writing • Proficient in Arabic language. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. Required language level: Graduation • Outstanding communication skills, both written and oral, with a keen eye for detail • Strong organizational skills to effectively manage tasks and projects • Proficient in analytical thinking and problem-solving • Comfortable working in a fast-paced, highly collaborative, and dynamic work environment

Preferred Qualifications

- - Post Graduation degree in Arabic Language. Previous experience as AI trainers, knowledge of AI and NLP, Cambridge certifications Experience with Artificial Intelligence interaction, such as prompt generation and open AI's
- Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

AI Data Trainer (Arabic), Operations Team

at Amazon

Back to all Data Science / AI / ML jobs
A
Industry not specified

AI Data Trainer (Arabic), Operations Team

at Amazon

GraduateNo visa sponsorshipData Science/AI/ML

Posted 17 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Join Alexa Shopping Operations to contribute to dataset generation and annotations for training AI models in Arabic. You will create content that generates text-based user input, validate data against annotation guidelines, and curate high-quality data for AI models. Work with your team to drive process efficiencies and explore automation, supporting RLHF and end-to-end LLM lifecycle across shopping features and locales.

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

We are open to hiring candidates to work out of one of the following locations:

Gurugram, HR


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 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

Basic Qualifications

- • Bachelor's degree in Arabic Language • 1+ years of experience in content or editorial writing • Proficient in Arabic language. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. Required language level: Graduation • Outstanding communication skills, both written and oral, with a keen eye for detail • Strong organizational skills to effectively manage tasks and projects • Proficient in analytical thinking and problem-solving • Comfortable working in a fast-paced, highly collaborative, and dynamic work environment

Preferred Qualifications

- - Post Graduation degree in Arabic Language. Previous experience as AI trainers, knowledge of AI and NLP, Cambridge certifications Experience with Artificial Intelligence interaction, such as prompt generation and open AI's
- Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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