Amazon AI Content Expert Jobs | Elevate Language Models with High-Quality Data

AI Content Expert at Amazon – Shape the Future of Generative AI and LLM Training

July 5, 2025 AllindiaHires

AI Content Expert – Elevating Large Language Models with High-Quality Training Data
Reference ID: 3005205 | Based at: ADCI Hyderabad, SEZ Campus – H83

Introduction

Amazon is at the forefront of artificial intelligence, continually innovating to refine its Large Language Models (LLMs) and deliver intelligent solutions to customers across the globe. To drive this mission, Amazon is hiring a highly skilled AI Content Expert II. This role is a 12-month fixed-term contractual position that sits within Amazon’s Data Team, where you will play a critical role in creating, annotating, and refining training data to enhance the performance and scope of advanced generative AI technologies.

If you are detail-oriented, passionate about AI, and skilled in content creation across multiple modalities—such as text, image, and video—this role offers an excellent opportunity to be part of cutting-edge machine learning development.

Role Overview: What Does an AI Content Expert Do?

As an AI Content Expert at Amazon, you will be entrusted with producing and annotating complex training data across a diverse set of domains and media types. Your contributions will directly support the continuous improvement of Amazon’s generative AI models and systems. The role requires strong judgment, linguistic precision, cultural fluency, and the ability to work closely with engineers and research scientists.

Key Responsibilities Include:

Creation and Annotation of Multi-Modal Data:
Generate and annotate training data in formats including text, images, and videos. The content may span general knowledge, technical writing, scientific explanation, or creative writing depending on model requirements.
Content Generation with Varied Styles:
Produce grammatically correct, coherent, and contextually appropriate text in diverse writing styles. Follow prescribed style rules and client formatting standards to maintain uniformity and align with brand identity.
Audits and Quality Assurance:
Conduct regular reviews and audits of data created by peers. Provide structured feedback and maintain high standards of quality and accuracy.
Analytical Problem Solving:
Apply logical thinking and sound judgment to ambiguous situations. Investigate complex issues, troubleshoot challenges independently, and implement solutions efficiently.
Tooling and Process Improvement:
Identify inefficiencies in annotation tools or workflows. Report technical bugs and suggest optimizations to improve team productivity and data quality.

A Day in the Life

In this role, you will work as part of a multi-disciplinary team focused on producing high-quality data for machine learning. You’ll spend your time:

Evaluating and labeling conversational data (text, audio, video) across different categories.
Ensuring data confidentiality while adhering strictly to Amazon’s security and compliance standards.
Collaborating with ML engineers and scientists to evolve annotation guidelines.
Participating in discussions around data quality metrics, performance feedback, and content validation strategies.

This is an intellectually stimulating environment where focus, discipline, and creativity converge. If you enjoy language, analysis, and AI, you’ll find your niche here.

Required Qualifications

To be considered for the AI Content Expert role, candidates must possess:

Bachelor’s Degree in a relevant domain (e.g., Linguistics, English, Computer Science, Journalism, Cognitive Science) or equivalent professional experience.
2+ Years of Experience in written language data handling—this includes annotation, content writing, editing, and markup tasks.
Strong English Proficiency: Demonstrated excellence in reading comprehension, writing clarity, grammar, and editing.
Cultural Fluency in U.S. Norms: Understanding of American cultural references, idioms, and social nuances is essential.
Research Proficiency: Capable of synthesizing information from multiple sources while adhering to ethical standards, including avoiding plagiarism.
Attention to Detail: Ability to perform precise tasks consistently over extended periods.
STEM Familiarity: Comfortable handling tasks involving high-school level science, math, and technical terminology.
Adaptability in Writing Style: Skilled at modifying tone, structure, and language based on content type or target audience.
Agility in Fast-Paced Environments: Able to quickly shift direction in response to evolving project needs and priorities.

Preferred Qualifications

Candidates with the following competencies will stand out:

Experience with LLM Training & Evaluation: Previous work creating training datasets for natural language models is a major advantage.
Proficiency in Markup and Text Formats: Familiarity with HTML, XML, Markdown, JSON, RTF, and CSV is preferred.
Command Line Knowledge: Experience using UNIX commands and command-line interfaces.
Programming Basics: Working knowledge of scripting languages such as Python can be beneficial, especially for text preprocessing and tool automation.
Regex Proficiency: Understanding of regular expressions for pattern matching and text validation tasks.
CEFR Level C2 Certification: Near-native or native-level English proficiency validated by an official European language proficiency framework.
Comfort Handling Sensitive Content: Experience in reviewing, annotating, or generating content that may involve sensitive or challenging themes.

Why This Role Matters

In the AI-driven future Amazon is helping shape, high-quality training data is one of the most valuable assets. LLMs learn from this data to become more accurate, nuanced, and contextually aware. Your work as an AI Content Expert will directly influence how smart, ethical, and useful Amazon’s AI models become.

You will not only be contributing to cutting-edge AI technology but also joining a vibrant, diverse, and forward-thinking workplace culture. Amazon’s AI team fosters a culture of innovation, teamwork, and ongoing skill development.

Amazon’s Commitment to Inclusion and Accommodation

Amazon champions diversity and inclusion, and believes every individual should be empowered to bring their authentic selves to work. The company is committed to offering equal employment opportunities and providing necessary accommodations throughout the hiring process.

If you require special assistance during any stage of the application, interview, or onboarding process, you can visit Amazon’s accommodations page for guidance and support.

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Conclusion

If you’re looking to play a pivotal role in the advancement of generative AI technology and have a keen eye for language, data accuracy, and creative content production, this role at Amazon offers a remarkable opportunity. As an AI Content Expert, you will be the bridge between human insight and artificial intelligence development—powering smarter solutions for global users.

Join Amazon and become part of a team that is innovating for the future of AI.

Apply Here

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