Data Associate ML – SAD – Work from Home

Job summary

The Human Labeled Data (HLD) organization aims to provide quality data annotation to help drive AI models.

Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure.

Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. 

We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.

Quick Information About Data Associate ML – SAD – Work from Home

 We are looking for highly motivated and talented candidates to participate in auditing/reviewing judgements for variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence. 

Job Description and Key Responsibilities:

As a  Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and will require the candidate to make quick decisions keeping in mind the provided guidelines. Your key responsibilities will include (but not limited to) the below: 

• Meets business metrics and goals, i.e., SLA, production, and quality targets
• Works with minimal direction
• Maintains records of day- to-day work by updating trackers or workflow tools as necessary
• Follows SOP/guidelines or manager’s instructions and ensures output is quality compliant 
• Contributes to project improvement and operational excellence ideas, as applicable
• Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA
• Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders
• Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules
• Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, alcohol, tobacco, weapons and other potentially offensive products
• Troubleshooting issues related to process and conduct root cause analysis if required
• Familiarity with online retail (e-commerce)

Basic qualifications and skills

• Graduate or equivalent
• Excellent English language proficiency: verbal, writing, reading and comprehension
• Strong analytical and communication skills
• Passion for delivering a positive customer experience, and maintain composure in difficult situations
• Ability to effectively and efficiently complete challenging goals or assignments within defined SLA
• Shifts: The job involves working in a 24/7 environment including night shifts and the shifts are decided based on the business requirement.
• Flexible to work in rotational week offs 

Mandatory Requirements for work from home role

• Home environment free from background noise where you can connect to the internet and work on your deliverables.
• Should have a good internet connection with a minimum speed of 20 MBPS or better and should have at least 100 GB data from a reliable provider.
• Should have access to mobile phone at all times from a reliable provider.
• Should have power back up in case of power shut down.
• Should be based in one of the following states or should relocate to one of this state before the joining date.
  • Tamilnadu, Karnataka, Telangana, Maharashtra, Utter Pradesh, Andhra Pradesh, Delhi, Punjab, Rajasthan, West Bengal.

Preferred qualifications / skills

• Basic level of Excel knowledge
• Familiarity with online retail (e-commerce industry)

Official Notification & Application Data Associate ML – SAD – Work from Home

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Official Notification & Application Data Associate ML – SAD – Work from Home

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Vacancy details for this job Data Associate ML – SAD – Work from Home :

Position: Data Associate I, Machine Learning – Structured Annotations Data (SAD) – Work from Home

Overview:

As a Data Associate I in the Machine Learning (ML) division with a focus on Structured Annotations Data (SAD), you will embark on a unique and exciting journey into the world of AI and machine learning at one of the world’s leading tech giants. At the heart of Amazon’s relentless pursuit of innovation is a dedicated team of individuals who play a critical role in building and training AI systems that power a wide array of Amazon services and products.

This 800-word description aims to provide a comprehensive insight into what it means to be a Data Associate I in this role, the responsibilities you’ll shoulder, the skills you’ll develop, and the impact you’ll have on the future of AI and Amazon’s customer experience.

Role and Responsibilities:

As a Data Associate I in the ML division, specializing in Structured Annotations Data (SAD), your core responsibilities revolve around curating, enriching, and enhancing datasets that are pivotal in training and fine-tuning machine learning algorithms. Your work directly contributes to Amazon’s ability to provide cutting-edge solutions, from voice-activated assistants to product recommendations, that delight customers across the globe.

1. Data Annotation and Labeling: You will be at the forefront of annotating and labeling structured data, which includes categorizing and tagging data points to help ML models understand and process information accurately. This meticulous work ensures that AI systems comprehend context, semantics, and relationships within data.
2. Data Quality Assurance: Quality is paramount in AI, and as a Data Associate I, you will meticulously review and validate annotations, guaranteeing the highest standard of data quality. Your efforts directly impact the performance and reliability of AI systems.
3. Process Optimization: Continuous improvement is a core principle. You’ll actively participate in refining data annotation processes, identifying bottlenecks, and suggesting enhancements that streamline workflows and boost efficiency.
4. Feedback Loop: You will work closely with team leaders and data scientists, providing critical insights and feedback from your interactions with data. This feedback loop is crucial for fine-tuning AI models and ensuring they align with real-world scenarios.
5. Adherence to Guidelines: It’s essential to maintain strict adherence to guidelines and standards set by Amazon. Consistency and precision are key to producing high-quality data for machine learning.

Skills and Qualifications:

While prior experience is beneficial, Amazon is dedicated to fostering talent and offers extensive training and support for Data Associates I. Here are some of the skills and qualities that will help you thrive in this role:

1. Attention to Detail: Meticulous attention to detail is crucial in ensuring data accuracy, which directly impacts AI model performance.
2. Analytical Thinking: The ability to analyze data contextually and make informed decisions while following guidelines is vital.
3. Communication Skills: Effective communication with team members and leaders is essential for providing feedback and driving process improvements.
4. Problem-Solving: Identifying and solving challenges in data annotation processes contributes to continuous improvement.
5. Adaptability: Being open to learning, embracing change, and adapting to evolving guidelines and technologies is key.
6. Team Collaboration: Working collaboratively with colleagues fosters a supportive and innovative work environment.

Impact and Growth:

As a Data Associate I in the ML division with a focus on SAD, your work has a profound impact:

1. Enabling Cutting-Edge AI: Your contributions are instrumental in training AI models that power innovations across Amazon, from Alexa to Prime recommendations, enhancing the customer experience.
2. Career Growth: Amazon is committed to employee development. This role can serve as a launchpad for a rewarding career in data science, machine learning, or other tech-related fields.
3. Learning Opportunities: You’ll have access to comprehensive training, cutting-edge technology, and a supportive community of professionals, fostering continuous learning and skill development.
4. Amazon’s Legacy: You become part of Amazon’s legacy of innovation, helping shape the future of AI and technology.

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