Description

　　The Human Labeled Data (HLD) organization is dedicated to providing high-quality data annotation services to drive advancements in AI models. Our overarching vision is to create substantial business value by delivering superior data at scale. We are committed to offering easily scalable labeling solutions that are not only of the highest quality but also cost-efficient and secure. Our primary goal is to enhance the search experience for our customers by accurately assigning labels to products relevant to search queries. To achieve this, we work closely with various machine learning (ML) applied science teams dedicated to improving the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.

　　To support our vision, we are seeking exceptionally talented, bright, and motivated individuals. Your responsibilities will encompass ensuring that your team consistently meets productivity and quality assurance standards, actively participating in planning, organizing, and supervising the work of your team, outlining procedures and instructions for tasks, providing time estimates for new assignments, optimizing team efficiency, and mentoring and training both new and existing team members. If you possess the skills and determination, this is an opportunity to work hard, have fun, and make history.

　　Key job responsibilities

　　Lead a team of data specialists and linguists.

　　Own and prioritize work assignments based on business requirements.

　　Define relevant operational metrics aligned with our business objectives and establish processes for tracking and continually improving these metrics.

　　Collaborate effectively with stakeholders to achieve our business goals.

　　Take ownership of the quality of the output of the managed process.

　　Conduct in-depth data analysis, identify issues, determine root causes, and propose effective solutions.

　　Review Standard Operating Procedures (SOPs), processes, and tools to proactively enhance quality measures.

　　Initiate and lead process improvement initiatives, presenting solution proposals and implementing changes in relevant operational areas.

　　Participate in onboarding for new processes, i.e. new process / experiments, ensuring comprehensive documentation.

　　Develop robust launch plans for new team members and oversee their progress through the administration of these plans, turning intentions into actions.

　　Provide regular coaching and feedback to your direct reports.

　　Devise and implement performance improvement plans for team members.

　　Be prepared to handle sensitive data, including adult content and topics related to religion and other sensitive issues, as required.

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

　　Palo Alto, CA, USA

　　Basic Qualifications

　　3+ years of team management experience

　　2+ years of program or project management experience

　　Experience leading process improvements

　　Experience with data analysis and business case development, and managing programs from concept to implementation

　　Experience in analysis of large volume of data to drive analysis and to make decisions

　　Experience in managing global stakeholders

　　Bachelor's or Master's in linguistics, computational linguistics, or other language-related fields.

　　Preferred Qualifications

　　Knowledge of data mining using SQL

　　Experience in translating business needs into detailed feature requirements

　　Experience in e-commerce/Hi-tech/Retail industry or management consulting with focus on one of these industries

　　Proficient in French, German, Spanish, Italian, or Japanese language

　　Working knowledge of Python scripting, Regex, Git

　　Experience working in Machine learning and AI space

　　Strong attention to detail and the ability to successfully manage multiple competing priorities simultaneously

　　Excellent communication skills

　　PhD in linguistics, computational linguistics, or other language-related fields.

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $52,900/year in our lowest geographic market up to $127,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.