AmazonDigital Associate I, MLDOps
Amazon is hiring a Digital Associate I, MLDOps in Chennai, United States. Level rates it ; you can apply on Level.
AI in this role
Collect and validate ground truth data following structured instructions for AWS product development.
• Work on defined set of instructions to collect ground truth data for the product development.
• Perform execution and report results accurately.
• Understand procedures and guidelines for new tasks / releases
• Perform repetitive exercises based on the dynamic instructions without compromising on quality
• Use software tools for data capture and comply with the processes of the organization on a daily basis
• Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines.
• Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA’s
• Own the daily targets against internal and external dependencies
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
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.
Basic qualifications
- Bachelor's degree
- Speak, write, and read fluently in English
Preferred qualifications
- Knowledge of Microsoft Office products and applications
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Digital Associate I, MLDOps at Amazon rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data collection was part of your work. What did you do?
- Tell me about a project where ground truth was part of your work. What did you do?
- Tell me about a project where annotation was part of your work. What did you do?
- Tell me about a project where data operations was part of your work. What did you do?
- Walk me through how you've used Microsoft Office in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Collection, Ground Truth, Annotation, Data Operations, and Microsoft Office. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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