ADCI - Haryana - D50
Technology
AIDataTrainer(Turkish)
Neural analysis suggests this role is
optimal for Junior candidates.
“AI Data Trainer (Turkish) at ADCI - Haryana - D50. Skills: AI Data Trainer, Turkish Language, English Language, content generation, data annotation. Contribute to projects generating training datasets for AI models, create content for text-based user input, validate data based on annotation guidelines, perform data collection and curation, drive process efficiencies, and explore automation opportunities.”
What You'll Achieve.
Enhance customer experience (CX) quality across shopping features, devices, and locales. Deliver a superior shopping experience to customers worldwide. Empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. Provide an end-to-end data solution for the LLM lifecycle. Shape the future of the shopping experience for customers worldwide.
Industry & Context.
analytical thinking; problem-solving
Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. Required language level: Graduation2/ B2. 2 Certification.
What They're Looking For.
Must Have
Bachelor's degree or B2.2 certification in Turkish Language. 1+ years of experience in content or editorial writing. Proficient in Turkish & English language (verbal, writing, reading and comprehension). Outstanding communication skills, both written and oral, with a keen eye for detail. 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.
Nice to Have
Post Graduation degree in Turkish 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.
What You'll Do.
Contribute to projects generating training datasets for AI models
create content for text-based user input
validate data based on annotation guidelines
perform data collection and curation
drive process efficiencies
and explore automation opportunities.
How You'll Work.
Team & Collaboration
Work closely with team members and managers to drive process efficiencies and explore opportunities for automation. Work in collaboration with Shopping feature teams.
Communication Scope
written; oral; keen eye for detail
Process & Methodology
manage tasks and projects
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 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 Artificial Intell
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