Amazon’s Human Labeled Data (HLD) organization plays a crucial role in enhancing the customer search experience on Amazon’s platform. By providing quality data annotation, we assist in refining the AI/ML models that power Amazon Search services. Our aim is to deliver high-quality data at scale, supporting search functionalities that are both efficient and secure. Collaborating closely with machine learning (ML) applied science teams, we strive to improve various aspects of the search experience, from semantic matching to image processing.
Amazon: Data Associate I (Machine Learning)
Responsibilities
As a Data Associate I in Machine Learning, your primary responsibility will be to deliver timely and accurate data annotation across various workflows. This role requires quick decision-making in adherence to provided guidelines. Key responsibilities include:
- Meeting business metrics and goals, including SLA, production, and quality targets.
- Working autonomously with minimal direction.
- Maintaining detailed records of daily work and updating trackers or workflow tools as required.
- Following SOP/guidelines or manager’s instructions to ensure quality compliance.
- Contributing to project improvement and operational excellence ideas.
- Providing timely responses to stakeholders as per defined SLAs.
- Proactively identifying and escalating issues that may impact core deliverables.
- Analyzing data, evaluating trends/patterns, and recommending generic patterns to be translated into rules.
- Willingness to work with sensitive content, such as adult content or potentially offensive products.
- Troubleshooting process-related issues and conducting root cause analysis if necessary.
- Familiarity with online retail (e-commerce).
Basic Qualifications
- Graduate or equivalent.
- Proficient in English, demonstrating language proficiency in verbal, writing, reading, and comprehension.
- Strong analytical and communication skills.
- Passion for delivering a positive customer experience and maintaining composure in challenging situations.
- Ability to complete challenging goals or assignments within defined SLAs.
Preferred Qualifications
- Basic knowledge of Excel.
- Familiarity with the online retail (e-commerce) industry.
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