2

Entry Level Amazon Data Annotation Jobs in Arizona

Hands on experience on platforms - Microsoft Azure/Amazon Web Services * Libraries - Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or ...

Maintain sheet notes, symbols, and annotation accuracy in assigned views. * Apply shared parameters ... Growth Opportunity * This is an entry-level role with structured training and mentorship.

Entry Level Amazon Data Annotation information

What are the key skills and qualifications needed to thrive as an Entry Level Amazon Data Annotation Specialist, and why are they important?

To thrive as an Entry Level Amazon Data Annotation Specialist, you need attention to detail, basic computer literacy, and the ability to follow precise instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and common office software like Excel is typically required. Strong communication, time management, and the ability to work independently are valuable soft skills in this role. These skills ensure accurate data processing, contribute to high-quality machine learning outputs, and help maintain productivity in a deadline-driven environment.

What are some common challenges faced by entry-level Amazon data annotation specialists, and how can they be addressed?

Entry-level Amazon data annotation specialists often encounter challenges such as maintaining high accuracy while working with repetitive tasks, adapting to evolving project guidelines, and managing productivity targets. To address these, it's important to develop a strong attention to detail, seek clarification on ambiguous instructions, and utilize any available training or feedback sessions. Building a habit of double-checking your work and staying organized can also help improve both speed and quality, leading to better performance and growth opportunities within the team.

What are entry level Amazon data annotation jobs?

Entry level Amazon data annotation jobs involve labeling, tagging, categorizing, or otherwise annotating data such as images, text, or audio to help improve machine learning models and artificial intelligence systems. These roles typically require attention to detail, the ability to follow guidelines, and may involve repetitive tasks. No advanced technical skills are usually required, making them suitable for those new to the tech industry or individuals seeking remote and flexible work opportunities. Employees may work on platforms like Amazon Mechanical Turk or directly for Amazon’s internal data teams. This work is essential for ensuring the quality and accuracy of AI-driven products and services.
What are the most commonly searched types of Amazon Data Annotation jobs in Arizona? The most popular types of Amazon Data Annotation jobs in Arizona are:
What are popular job titles related to Entry Level Amazon Data Annotation jobs in Arizona? For Entry Level Amazon Data Annotation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Amazon Data Annotation jobs in Arizona look for? The top searched job categories for Entry Level Amazon Data Annotation jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Amazon Data Annotation jobs? Cities in Arizona with the most Entry Level Amazon Data Annotation job openings:
Entry Level Data Scientist

Entry Level Data Scientist

SynergisticIT

Tucson, AZ • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT services. We intend to deliver exceptional student outcomes. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to client trends and patterns
  • Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
  • Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
  • Unsupervised/Clustering algorithms
  • NLP models, Deep Learning models for image classification
Desired Candidate Profile

Skills required:

  • Hands on experience Python scripting
  • Hands on experience in building Machine Learning and Artificial Intelligence models
  • Good knowledge on Exploratory Data Analysis (EDA)
  • Hands on experience on platforms - Microsoft Azure/Amazon Web Services
  • Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
  • Excellent English communication (both oral and written) and reading comprehension skills.
  • Strong analytical and problem-solving skills, with clear attention to detail.
Education Requirement:

Bachelors, Masters in Computer Science/Computer Engineering/Information Systems/Information Technology/Electrical Engineering/Mechanical Engineering.

Benefits:

  • On job technical support
  • E-verified
  • Filing of H1b and Green card
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you