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Project Manager, Community Feedback Annotation Team

Amazon

Project Manager, Community Feedback Annotation Team

Amazon

Cape Town, ZAF

·

On-site

·

Full-time

·

1w ago

Our overall mission is simple: to be Earth’s most customer-centric company. We want Amazon to be the place where customers can find, discover, and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will deliver world-class AI-generated experiences to our customers.

At Amazon Community Feedback, we build customer trust through our social and community features. Our Annotation team plays a crucial role in developing and refining AI-powered solutions that enhance these features, powering experiences like Customer Reviews and AI-driven shopping tools.

We are looking for a Project Manager to coordinate our human-in-the-loop annotation program, which is essential for developing and improving our AI models. In this role, you will manage annotation workflows, drive process improvements, and serve as the bridge between Operations, Science, Engineering, and Business teams. You will lead medium to large-scale projects, ensuring high-quality training data is delivered efficiently and that annotation processes are continuously optimized.

This role requires a customer-focused approach, data-driven decision-making, and the ability to operate at pace in a complex, cross-functional environment. Your work will directly contribute to developing reliable AI-powered community features that improve customer trust.

Key job responsibilities

  • AI Model Development & Data Quality

  • Manage projects with Annotators and Auditors to deliver quality input data for AI model fine-tuning and evaluation

  • Work with stakeholders to forecast project pipelines and align headcount needs

  • Collaborate with product and science teams to translate business needs into annotation guidelines

  • Oversee data quality and resource allocation to maintain annotation accuracy and efficiency

  • Process Improvement & Data Analysis

  • Identify and implement improvements to annotation process efficiency and quality

  • Analyse data to identify trends, root causes, and opportunities for quality improvement

  • Drive business and operational metrics through quantitative decision-making and adoption of tools and resources

  • Perform deep dives into processes and develop scalable improvement solutions

  • Serve as a subject matter expert and referral point for peers and junior team members

  • Cross-Functional Collaboration & Project Management

  • Serve as the primary point of contact between Annotators, Auditors, Science, and Business teams

  • Manage medium to large-scale projects bridging Operations, Engineering, Science, and Business teams

  • Prioritize projects, manage workflows, and maintain alignment across stakeholders

  • Facilitate communication between technical and non-technical teams to ensure shared understanding of requirements and deliverables

A day in the life
As a Project Manager for the Annotation team, you will orchestrate the provision of high-quality training data and coordinate AI model performance evaluation. Your day involves collaborating with annotators, auditors, scientists, product managers, and engineers to manage workflows and drive improvements. You will prioritize projects, optimize processes, and ensure alignment across teams — balancing hands-on data quality oversight with strategic project management to enhance annotation efficiency and support the delivery of reliable AI-powered community features.

About the team
Our team is passionate about human motivation and behavior and uses machine learning, classification algorithms, and scalable platform services to have a cross-org impact every day. We evaluate user research, customer experience knowledge, data, and cross-Amazon moderation expertise to ensure other teams think about customer trust. The Annotation team’s work powers S-team relevant experiences including AI shopping assistants and Review Highlights, and is part of a newly consolidated quality organization encompassing annotations auditing, moderation auditing, and training.

Basic Qualifications

  • Experience with Excel (Pivot Tables, VLook Ups) at an advanced level and SQL
  • Experience in program or project management
  • Experience working cross-functionally with tech and non-tech teams
  • Experience defining and implementing process improvement initiatives using data and metrics

Preferred Qualifications

  • Experience in driving end to end delivery, and communicating results to senior leadership
  • Experience leading process improvements
  • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
  • Bachelor's degree or equivalent
  • Familiarity with annotation workflows, RLHF labeling standards, or AI model evaluation processes
  • Experience with project scheduling, resource planning, and capacity forecasting

Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

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.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0 reports

$187,921

total / year

Base

-

Stock

-

Bonus

-

$159,732

$216,110

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge