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eligarf Technologies
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eligarf Technologies Data Annotator Interview Questions and Answers
eligarf Technologies Data Annotator Interview Experiences
3 interviews found
Anonymous
I applied via Naukri.com and was interviewed in Oct 2022. There were 4 interview rounds.
(1 Question)
- Q1. Introduction and Communication check
(2 Questions)
- Q1. Introduction and Data annotation ?
- Q2. Anawered it in a detailed way
(1 Question)
- Q1. They checked my communication, Knowledge about Data annotation.
Interview Preparation Tips
Have confidence while you speak
Have proper thought process
Nitesh Tiwari
Selected
I applied via LinkedIn and was interviewed in Jul 2022. There were 2 interview rounds.
(2 Questions)
- Q1. What skills do you have?
- Ans.
I have strong analytical skills, attention to detail, and experience in data annotation.
Strong analytical skills
Attention to detail
Experience in data annotation
- Q2. What about you personal details and education
Interview Preparation Tips
- Data Structures
I applied via Referral and was interviewed in Jan 2022. There were 2 interview rounds.
(3 Questions)
- Q1. Why are you looking for a change?
- Ans.
Looking for new challenges and growth opportunities.
Seeking a role that allows me to utilize my skills and knowledge to a greater extent.
Interested in working with a diverse range of data and projects.
Want to expand my expertise and learn new techniques in data annotation.
Desire to work in a collaborative and innovative environment.
- Q2. Share details of your previous job.
- Ans.
I worked as a data annotator at XYZ company.
Annotated large datasets for machine learning models.
Ensured accuracy and quality of annotations.
Collaborated with team members to resolve annotation challenges.
Used annotation tools and software to label and categorize data.
Maintained documentation of annotation processes and guidelines.
- Q3. Tell me about yourself.
- Ans.
I am a data annotator with experience in the field of data analysis and annotation.
I have a strong background in data analysis and annotation.
I am proficient in using annotation tools and software.
I have experience working with various types of data, such as images, text, and audio.
I am detail-oriented and have a keen eye for accuracy in data annotation.
I have worked on projects involving object detection, sentiment an...
(1 Question)
- Q1. What is insurance? Whats is data annotation? Types of data annotation?
- Ans.
Insurance is a contract between an individual and an insurance company to protect against financial loss. Data annotation is the process of labeling data for machine learning.
Insurance is a way to protect against financial loss due to unexpected events.
Data annotation involves labeling data to make it usable for machine learning algorithms.
Types of data annotation include image annotation, text annotation, and audio an
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
I applied via Recruitment Consulltant and was interviewed before Jun 2021. There were 3 interview rounds.
(1 Question)
- Q1. When do you prefer Decision Tree better than Random Forest model if model outputs are similar
- Ans.
Decision Tree is preferred over Random Forest when interpretability is important.
Decision Tree is easier to interpret and visualize than Random Forest.
Decision Tree is better suited for small datasets with few features.
Random Forest is better suited for large datasets with many features.
Random Forest is less prone to overfitting than Decision Tree.
Decision Tree can be used as a building block for Random Forest.
If inter...
(1 Question)
- Q1. Why do you want to work here
Interview Preparation Tips
Skills evaluated in this interview
(1 Question)
- Q1. Linear regression? python coding of lists.
(1 Question)
- Q1. Linear regression? python coding
Interview Preparation Tips
Boini Rajkumar
Round 1 Aptitude Test. They Ask Total 24 questions There are Aptitude and Verbal, One Codding question related To Sql Joins.
I applied via LinkedIn and was interviewed before Nov 2021. There were 3 interview rounds.
(2 Questions)
- Q1. Applied through LinkedIn and was shortlisted 1st round was a discussion about current experience and domain knowledge, questions around revenue assurance areas
- Q2. Later was asked some domain questions around telecom frameworks and TMforum frameworks
Was given a business case and was asked to come up with a PPT presentation for a consulting engagement with
Scope
Approach
Timelines
Deliverables
Recommendations
In the area of revenue assurance for a telecom client
Interview Preparation Tips
- Telecom
- SQL
- Revenue Assurance
- Analytics
- Consulting
- Software developement
Subex has their own analytics product/software such as ROC RA/FM, partner settlement, Hypersense ( Data analytics platform)
There will be ample of international working opportunities and exposure as subex's major customer base are in middle East, Africa, Asia and South America. Recently they have gained some footprints in the US region as well
Selected
I applied via Job Portal and was interviewed before Sep 2022. There were 3 interview rounds.
(3 Questions)
- Q1. Discuss about the projects you have handled
- Q2. Behavioural Questions
- Q3. Questions related to domain they are hiring for
(1 Question)
- Q1. Scenario based questions
Interview Preparation Tips
Online hackerrank test. Keep time limit in mond. Sas test was easy for me, only had to keep track of time limit.
(1 Question)
- Q1. Not too difficult. Mainly questioned about the projects mentioned in resume.
(1 Question)
- Q1. Very similar to round 2 but got better clarity on role and ptoject
Interview Preparation Tips
Then it was followed by two technical rounds. If you have worked hands on in the projects mentioned in resume, you should be able to clear those rounds easily.
Selected
I appeared for an interview before Mar 2024, where I was asked the following questions.
- Q1. Draft Advanced SQL queries
- Q2. Can you explain an end-to-end project?
- Ans.
An end-to-end project involves all phases from initiation to closure, ensuring comprehensive management and delivery.
Initiation: Define project goals and scope, e.g., a new software development project.
Planning: Create a detailed project plan, including timelines and resources.
Execution: Implement the project plan, e.g., developing software features.
Monitoring: Track progress and performance against the plan, using KPI...
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eligarf Technologies Data Annotator Interview Process
based on 1 interview
Interview experience
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eligarf Technologies Data Annotator Reviews and Ratings
based on 14 reviews
Rating in categories
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Data Annotation Engineer
13
salaries
|  ₹3 L/yr - ₹4 L/yr |
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Consultant
10
salaries
| ₹3.5 L/yr - ₹4.4 L/yr |
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| ₹19.6 L/yr - ₹24 L/yr |
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Senior Consultant
7
salaries
| ₹4.7 L/yr - ₹10.9 L/yr |
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Data Analyst
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