DESCRIPTION

At Amazon, we're working to be the most customer centric company on earth. To get there, we need exceptionally talented, bright and self-driven people. If you would like to help us build the place to find and buy anything online, this is your chance to make history.

Workforce Staffing (WFS), a division of Worldwide Operations People, Product & Tech, manages Amazon’s Tier 1 talent (Front-line associates) supply chain. We attract, hire, and onboard the associates who, by fulfilling orders at the frontlines of the company, make Amazon a global leader in delivery and logistics. This encompasses market analytics, candidate attraction and communication, strategic sourcing, staffing execution at scale, and vendor management. These processes enable our business partners to meet customer expectations by matching talent supply with demand.

The Staffing Coordinators play a key role in partnering with our staffing agencies for hiring field associates. This role holders’ interface with business, partner teams and staffing agencies to ensure hiring of right talent on time. Staffing Coordinators are responsible for ensuring that our candidates and stakeholders experience the highest level of Customer Obsession. In this high volume hiring space, the role holder will support staffing project initiatives, daily assignments, and general task completion. The responsibilities of the role holders include (but not limited to) demand planning, oversight end-end hiring process, staff agencies readiness and training, onboarding process and orientation. The role holder will be an analytical thinker who can see around corners and demonstrate a passion for process improvement, candidate experience, and onboarding process improvement. We roll up our sleeves, work hard, have fun, and make history!

Key job responsibilities

Key responsibilities:

• Utilize relevant channels to source candidates. Manage internal talent pipeline as well as 3P staffing agencies pipeline, ensuring candidates meet hiring bar prior to onboarding.

• Execute and audit New Hiring Events (NHE) based on labor projections to meet the labor order demands and fill on-time.

• Guide staffing vendors & applicants through the hiring process in accordance with Amazon’s policies and procedures.

• Support auditing compliances to define staffing processes including quality of new hires/ re-hire/ early attrition & candidate experience.

• Develop & maintain effective communication process to ensure smooth & efficient flow of information amongst the key stakeholders.

• Must be able to travel as needed to conduct events in various locations within your designated Node or assigned geographical area.

• Staffing Coordinators are required to work a flexible schedule.

Basic qualifications:

• Bachelor’s degree or equivalent qualification with 2+ years of experience.

• Communication (written & verbal), interpersonal and analytical skills.

• Experience in building and driving talent sourcing initiatives.

• Experience in working autonomously or in a remotely managed environment.

Preferred qualifications:

• Proficiency in MS-Office specially excel is essential (advanced formulas/ pivot reporting & integrating excel with other tools).

• Previous recruitment experience coordinating with agencies and/or direct hire sourcing models in a high-volume environment

• You have the ability to execute a recruiting strategy, including: employer promotion in the marketplace, candidate management, diversity sourcing, and interview process management.

BASIC QUALIFICATIONS

- Bachelor's degree

- 1+ years of human resources experience

- Knowledge of Microsoft Office products and applications (especially Excel)

PREFERRED QUALIFICATIONS

- Knowledge of Microsoft Office including Outlook, Word, and ExcelDESCRIPTION

As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience.

Key job responsibilities

• Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team.

• May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements.

• Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage.

• Maintaining high internal quality of the processes by performing quality audits/verification.

• Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them.

• Track daily task completion status using recommended tools and provide individual status reports.

• Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools.

• Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality.

• Offering remedial instruction in tool usage and other topics as required.

Requirements:

• Strong command of the English language, including grammar, syntax, and vocabulary.

• Background in linguistics, creative writing, computational linguistics, or a related field is preferred.

• Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system.

• Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required

• Flexibility and Interest to do repetitive tasks is required.

• High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential

• Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated.

• Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

• Passion for language, technology, and AI advancements.

• Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously.

BASIC QUALIFICATIONS

- Bachelor's degree

- Speak, write, and read fluently in English

- Knowledge of Microsoft Office products and applications

- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays

- Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred).

PREFERRED QUALIFICATIONS

- Bachelor's degree in English, Journalism, Marketing, or a related field (preferred).

- Prior experience of 2-4 years and familiarity with US culture preferred; or experience in multicultural communication will be a plus.DESCRIPTION

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses.

We are looking for highly motivated and talented candidates who will generate multi- turn data demonstrations to be used in Supervised Fine Tuning (SFT) of LLMs. The ideal candidate must demonstrate strong analytical and communication skills, attention to details, creative thinking and a commitment to excellence and responsible AI.

Key job responsibilities

As an AI Content Expert, you will be responsible for generating multi turn demonstrations to train LLMs. The tasks will be complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and teams across the company to review provided guidelines, suggest updates to those guidelines, and engage in ongoing conversations regarding the quality of data, while adhering to Amazon's responsible AI guidelines and fostering trust. You will also be a part of other initiatives across process improvements, SOP and guidelines formulation, diving deep to provide data insights as and when required.

Your key responsibilities will include (but not limited to) the below:

• Work on complex processes and provide high quality data generations to customers.

• Operate with autonomy and maintain strict confidentiality as customer privacy is our biggest tenet

• Leverage and demonstrate expertise in a wide array of areas, such as (but not limited to) Computer Science, Literature, Music, Mathematics, Economics and Travel

• Perform audits and quality checks of tasks completed by other specialists, if required

• Identify issues and proactively reports operational challenges

• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.

• Create, update and follow SOP/flow of processes

• Identify process improvement opportunities (enhancements and pain points) at process/ function level

• Demonstrate the ability to handle small to medium scale process improvement projects

• Communicate to cross-company stakeholders on an ongoing basis to review a constantly evolving set of guidelines data and resolves emergent issues with minimal guidance

• Contribute in mentoring / training junior data associates on an ongoing basis

• Troubleshoot issues related to process and conduct root cause analysis if required

• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos.

• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.

A day in the life

We are looking for a talented and enthusiastic content writer to join our team and play a crucial role in unlocking the potential of our AI models through the creation of trustworthy, high-quality training data, while fostering trust in AI systems. You will critically evaluate machine and human-generated demonstrations to produce high-quality preference data for training AI models. Exceptional multitasking abilities, sound judgment, and meticulous attention to detail are essential to deliver impeccable work quality. You must maintain strict confidentiality and rigorously adhere to all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

About the team

You’ll work with a team that provides data creation, curation, and analytics services to help develop, test, and train AI models. We work closely with Machine Learning (ML) Science and Modelling teams, providing the critical data they need to improve the company’s speech recognition and language understanding capabilities.

BASIC QUALIFICATIONS

• Bachelor’s Degree in a relevant field, such as Business Administration, Liberal Arts, Sciences, Computer Science, Engineering, Social Sciences, Visual and Performing Arts, or Communication.

• 3+ years of experience in the relevant field.

• Strong language proficiency across verbal, written, reading, and comprehension skills. Should display proficiency at a C2 level in the Common European Framework CEFR scale.

• Strong understanding of U.S.-based culture, society, and norms.

• Strong interpersonal, analytical and communication skills.

• Demonstrated passion for delivering a positive customer experience, and maintain composure in ambiguous and difficult situations.

• Exceptional research skills to gather relevant information and understand complex topics.

• Ability to adapt writing style to suit various style guidelines and customers.

• Ability to effectively write and evaluate diverse subject matter across various domains

• Proven capacity to leverage open-source resources effectively for comprehensive research purposes

• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

• A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential

• This will be an onsite role and candidate should be flexible in work timing (including night shifts) and be ready to meet delivery targets

PREFERRED QUALIFICATIONS

• Working Knowledge of SQL, Python, and/or Machine Learning.

• Familiarity with Large Language Models.

• Experience in detailed content classification and data generation.

• Experience working in ambiguous roles.