ML Operations Manager - AWS AI, Bedrock Data Team at

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ML Operations Manager - AWS AI, Bedrock Data Team Amazon Web Services (AWS) is looking for a data associate to help with annotations and data analysis. As part of the AiData Team at AWS you will responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems. Our goal is to produce the highest quality training data in the industry and to delight our customers by improving human language understanding and natural language processing.. Amazon Bedrock is a fully managed service that offers a choice of foundation models (FMs) from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API, with customizable capabilities needed to build generative AI applications with security, privacy, and responsible AI. As MLDLs, we belong to the Data division of Bedrock, with our work serving to collect, annotate, and QA data used to train the various Bedrock models. Other divisions of Bedrock include Engineering and Science.. Key job responsibilities. * Collaborate with other Ops Managers to enable the success of the people on your team.. * Oversee transcription, data annotation and data collection tasks for our language services customers.. * Review customer requests and plan resources for annotation tasks.. * Ensure on-time delivery of data annotation.. * Conduct regular audits to ensure data protocols are met.. * Generate reports related to team performance, goals, project status, and tooling when required.. * Streamline and refine processes to drive continuous improvement.. * Ability to hire, develop, and promote ML Data Associates. Ability to handle HR processes in partnership with their manager/HR as needed. . * Evaluate team performance based on metrics and deliverables. . * Provide regular coaching and feedback on performance, and support individual career development plans in one-on-one meetings.. * Facilitate and conduct team meetings, present proposals to diverse audiences. . About the team. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.. Diverse Experiences. AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. . Why AWS?. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.. Inclusive Team Culture. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.. Mentorship & Career Growth. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. . Work/Life Balance. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. . Hybrid Work. We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.. We are open to hiring candidates to work out of one of the following locations:. Virtual Location - USA. Basic Qualifications. * Bachelor’s degree or equivalent in training and/or work experience.. * Excellent written and verbal communication skills. . * Excellent organizational skills, ability to prioritize and help their team focus on what is most important to deliver aligned results.. * 1-2 year(s) experience in people management.. * 1-2 year(s) of relevant work experience (e.g., project, operation management, team management).. * Ability to deliver high quality results under tight deadlines.. * Comfortable working in a fast paced, collaborative work environment.. * Passion for building teams and developing people.. * Able to engage with different stakeholders and customers from different backgrounds.. * Proven experience in optimizing processes and operational workflows. . * Ability to lead meetings and presentations. . * Ability to pivot quickly and flexibility in adapting to changing priorities. . * Familiarity in working with ML data, language data, or data annotation. . Preferred Qualifications. * Depth and breadth of knowledge of language, linguistics, and the language services industry.. * Proficient in Spanish, French, German, Portuguese, Japanese, or another foreign language.. * Experience with data visualization and presentation tools (Excel, Tableau, etc).. * Experience hiring and developing teams. 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 Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47,500/year in our lowest geographic market up to $101,000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site..