eligarf Technologies Interview Questions, Process, and Tips

Q1. Introduction and Communication check
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Q1. Introduction and Data annotation ?
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Q2. Anawered it in a detailed way
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Q1. They checked my communication, Knowledge about Data annotation.
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Basic level questions

Q1. Introduce yourself?
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Q2. Past working experience
Ans. 
I have 3 years of experience in data annotation for computer vision projects.
• Worked on labeling images and videos for object detection and segmentation tasks

• Utilized annotation tools like Labelbox and CVAT

• Collaborated with data scientists and machine learning engineers to improve model performance
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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
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Q2. What about you personal details and education
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Code test javascript

Q1. Technical questions on javascript
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Q1. Basic questions
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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.
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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.
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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...read more
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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
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Q1. Basic questions after resume screening like
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Q2. 1. Introduction to yourself 2. educational background 3. salary expectations
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Q3. Tentative date of joining
Ans. 
The tentative date of joining is not available.
• The candidate does not have the available data for the tentative date of joining.

• The candidate should mention that the date is not confirmed yet.

• The candidate can express their willingness to discuss the joining date further during the interview process.
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Depends on the profile you are interviewing

An Assignment related to python programming and SQL.