Amazon Direct Test Hiring: Digital Associate – IVA, Hyderabad

Here’s the revised version with the mention of Direct Test Hiring at the start:

Amazon Hiring, Direct Test Hiring

Job Description:

Direct Test Hiring opportunity for the role of Digital Associate. This position focuses on image and video annotation tasks, contributing to accurate data generation for machine learning models.

Key Responsibilities:

• Annotate image and video files to generate accurate ground truth data.
• Follow Standard Operating Procedures (SOPs) and task-specific guidelines diligently.
• Adapt to dynamic instructions while maintaining quality and productivity standards.
• Utilize internal tools and software for task tracking, query resolution, and workflow updates.
• Participate in data collection activities when provided with pre-defined scripts and instructions.
• Ensure strict compliance with confidentiality and data security protocols.
• Consistently meet daily productivity and quality benchmarks.
• Actively suggest improvements to tools, workflows, and operational processes.

A Typical Day in This Role:

• Execute annotation tasks for image and video datasets.
• Adhere to established workflows and adapt to evolving task requirements.
• Track task progress using internal tools and address queries promptly.
• Maintain accuracy and efficiency in repetitive annotation activities.
• Propose improvements for process efficiency and tool effectiveness.

Basic Qualifications:

• Education: Graduate in any field (preference for science or engineering disciplines, but not mandatory).
• Communication: Strong English communication and interpersonal skills.
• Technical Proficiency: Familiarity with Windows tools like Word, Excel, Internet Explorer, Firefox, etc.
• Knowledge Base: Basic understanding of machine learning data labeling processes and related tools/software.
• Attention to Detail: High accuracy in performing repetitive tasks.
• Adaptability: Flexibility and willingness to handle repetitive workloads.
• Work Ethic: A proactive mindset, ownership of tasks, and dedication to meeting daily deadlines.
• Experience: Minimum 6 months of experience in data labeling for images/videos, handling diverse object classes and attributes.

How to prepare?

Job Preparation Guide for Annotation Specialist Role

To prepare effectively for the annotation job described, focus on the following key areas:

1. Technical Skills Preparation

Windows Desktop Environment: Brush up on tools like Microsoft Word, Excel, and common browsers (Chrome, Firefox).

Annotation Tools: Familiarize yourself with common data labeling tools like LabelImg, CVAT (Computer Vision Annotation Tool), or SuperAnnotate.

ML Data Labeling Basics: Understand how ground truth data is generated for machine learning, including annotation types like bounding boxes, segmentation, keypoint annotations, and object tagging.

Data Processing Knowledge: Gain insights into data pipelines, data quality checks, and processing trade-offs.

2. Theoretical Knowledge

Annotation Guidelines: Study Standard Operating Procedures (SOPs) for data labeling tasks.

Compliance & Confidentiality: Understand data privacy laws like GDPR and how to handle sensitive data.

Basic ML Concepts: Have a basic understanding of terms like ground truth data, datasets, and model training.

3. Hands-on Practice

Practice Annotation Tasks: Work on sample images/videos to annotate objects, actions, and attributes.

Tool Familiarity: Practice annotation tools and get comfortable with different functionalities.

Error Identification: Learn to identify annotation errors and improve accuracy.

4. Soft Skills

Attention to Detail: Develop keen observation skills to ensure high-quality annotations.

Time Management: Practice working under daily productivity targets.

Adaptability: Prepare to handle dynamic instructions and changes.

Communication Skills: Improve English communication for clear reporting and issue resolution.

5. Work Experience Alignment

Highlight at least 6 months of experience in data labeling, focusing on your work with multiple object classes and attributes.

Showcase any experience with ML tools/software or data annotation platforms.

6. Example Projects to Build Confidence

Annotate 10 sample images/videos using different techniques (e.g., bounding boxes, segmentation masks).

Document your work and review it for accuracy and completeness.

Explore open datasets (e.g., COCO Dataset, ImageNet) to practice.

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