Quality Specialist - Marathi, AGI Data Services - Quality

Amazon is hiring a Quality Specialist - Marathi, AGI Data Services - Quality in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Dashboards, quality assurance and data analysis among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted within the past two weeks.

AI in this role

Responsible for establishing and maintaining quality frameworks, analyzing data trends, and driving continuous improvement for AGI data workflows.

dashboards

quality-assurancedata-analysisprocess-improvementstakeholder-management

Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.

Key job responsibilities
- Define and implement quality metrics for established workflows
- Create prescriptive actions for quality issues
- Partner with customers, operations and internal support teams to optimize workflow quality
- Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
- Analyze data trends and develop solutions
- Monitor quality performance and coach operations teams
- Create and maintain quality metrics reports
- Handle customer escalations and recommendations
- Evaluate and suggest improvements for quality tools
- Support process documentation and implementation

A day in the life
Your day starts by checking quality dashboards for your assigned workflows — reviewing audit scores, appeal rates, SLA status, and any overnight escalations. You will spend approximately 30% of your time on analysis: reviewing data trends, investigating root causes of quality dips, and creating prescriptive actions for operations teams.

Another 30% goes to stakeholder communication: leading weekly customer meetings, preparing quality reports, and handling escalations. The remaining time is split between process work (updating SOPs, refining audit rubrics, conducting side-by-sides) and calibration activities (aligning audit standards with Senior Quality Auditors and operations teams).

You are measured on: SLA metrics (appeals and batch completion), customer satisfaction, quality improvement trends for your workflows, and documentation quality.

About the team
The Quality Operations team within FAI Data Services ensures that labeled training data meets accuracy and consistency standards before it is used to train Amazon's AI models. Quality Specialists own the quality strategy for assigned workflows, bridging the gap between operations execution and customer expectations.

Basic qualifications

- Bachelor's degree or equivalent
- Advanced-level proficiency or C1+ in Marathi language (Strong verbal and written communication skills, with fluency in speaking, listening, and writing.)
- Demonstrated analytical and problem-solving skills with the ability to identify root causes and develop prescriptive actions
- Experience in creating and maintaining process documentation, SOPs, or quality guidelines

Preferred qualifications

- Bachelor's degree in a relevant field (e.g., Linguistics, Data Science, Business, or related discipline).
- Demonstrated ability to build or improve quality frameworks, audit processes, or feedback loops.
- Experience coaching or providing quality feedback to operations or associate-level teams.

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

Quality Specialist - Marathi, AGI Data Services - Quality 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Quality Specialist - Marathi, AGI Data Services - Quality is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, TS, Hyderabad.
The job was posted on October 15, 2026.
Seniority: mid.
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

Quality AssuranceData AnalysisProcess ImprovementStakeholder ManagementDashboards

Questions you could be asked

Tell me about a project where quality assurance was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where process improvement was part of your work. What did you do?
Tell me about a project where stakeholder management was part of your work. What did you do?
Walk me through how you've used Dashboards in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Quality Assurance, Data Analysis, Process Improvement, Stakeholder Management, and Dashboards. 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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