Digital 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 audit ground truth data for ML product development following dynamic instructions and guidelines.

data-annotationground-truthauditing

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

Key job responsibilities
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

A day in the life
A day in the life will be to annotate and audit the task based on the guideline, check ingestion of task and unblock Operations team.

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.

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.

Basic qualifications

- Speak, write, and read fluently in English
- Bachelor's degree
- Knowledge of QA methodology and tools
- A graduate in any field of study. (M.Sc.,B.Sc.,) Quantitative fields such as science and engineering preferred but not mandatory
- Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
- Ability to handle multiple category images in a fast-paced environment

Preferred qualifications

- Knowledge of Microsoft Office products and applications
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Bachelor's degree

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 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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.

Key facts

Digital Associate I, MLDOps is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, TN, Chennai.
The job was posted on October 12, 2026.
Seniority: junior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnnotationGround TruthAuditing

Questions you could be asked

Tell me about a project where data annotation 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 auditing was part of your work. What did you do?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Data Annotation, Ground Truth, and Auditing. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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