Team Manager, RBKS AI Data
AI in this role
Manages a team of ML data associates performing speech and language data annotation for AI products.
excelwindows
team-managementml-data-workflowsoperations-managementperformance-managementquality-assurance
Key job responsibilities
Manages team size of 20 to 25 ML Data Associates.
· Executes plans for team to perform tasks related to multiple ML workflows in a well-defined process area.
· Ensures ML data workflows are quality compliant. Analyzes ML data, SIM issues, and metrics. Highlights trends, gaps, etc. Provides status reports.
· Identifies risks and ensures escalations reach the right people. Adherence to confidentiality and compliance requirements
· Responsible for known SLAs and task completion targets (within provided capacity) for specific customers.
· Works with internal/ external teams and uses his/her knowledge and expertise to execute business goals
· Uses data to set/revisit operational goals and manage activities
· Manages escalation/ complex tickets; analyzes data; highlights trends, gaps, etc.; and reports key metrics
· Presents data in business meetings/reviews
· Design and implement process improvement projects that impact team level performance. Participates in new workflow roll out projects teams.
· Coaches direct reports on demonstrating leadership principles in their role.
· Assigns appropriate challenging work to employees to develop & prepare them for larger roles.
· Provides team guidance on work types and prioritization. Work of team primarily focuses on straightforward, well-defined objectives, but may take on ad hoc and ill-defined requests.
· Devises and implements performance improvement plans for associates. Provides regular coaching and feedback to direct reports with regard to quality, performance, behavior and career development.
· Performance manages team based on metrics & deliverables on a regular basis, and make decisions on hiring & firing.
· Holds team members accountable for performance based on metrics and adherence to rules and guidelines.
A day in the life
Amazon is seeking an experienced team manager to manage team of 20-25 annotation experts. The Team Manager will lead the annotations effort in India and partner closely with the Operations Manager. S/he will become an expert in the annotation processes, train and support the team, maintain accuracy and throughput standards.
Connect with our stakeholders to understand the key annotation requirements and train associates to deliver efficient annotations. He/she conduct close-loop sessions with research team members to know more about the ML model KPIs (Key Performance Indicators) and propose scalable solutions to improvise the efficiency.
Basic qualifications
- BE, BSC candidates, B tech - Mtech, Msc , IT, ECE, ELECTRICAL ELECTRONIC ENGIEERING · Comes with an industry experience of 5 to 7 years with at-least 1 to 2 years in team lead/people management role. · A graduate in any field of study. 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 · Excellent verbal and written communication skills
Preferred qualifications
- Strong attention to detail and organizational skills · Good project management skills · Strong judgment and instincts and able to prioritize in complex, fast-paced environment · Strong people management skills and ability to lead by example · Ability to adapt to dynamic project requirements · High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
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 score this
Team Manager, RBKS AI Data at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
Classification
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands 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
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Team ManagementMl Data WorkflowsOperations ManagementPerformance ManagementQuality AssuranceExcelWindows
Questions you could be asked
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where ml data workflows was part of your work. What did you do?
- Tell me about a project where operations management was part of your work. What did you do?
- Tell me about a project where performance management was part of your work. What did you do?
- Tell me about a project where quality assurance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Team Management, Ml Data Workflows, Operations Management, Performance Management, and Quality Assurance. 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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