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Cogito Tech Data Annotation Engineer Interview Questions, Process, and Tips

Updated 14 Jan 2025

Top Cogito Tech Data Annotation Engineer Interview Questions and Answers

Cogito Tech Data Annotation Engineer Interview Experiences

4 interviews found

Data Annotation Engineer Interview Questions & Answers

user image Gaurav Singh Kushwaha

posted on 14 Jan 2025

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Just asked related to your resume
  • Q2. What is difference between AI and ML?
  • Ans. 

    AI is a broader concept of machines being able to carry out tasks in a smart way, while ML is a subset of AI that allows machines to learn from data.

    • AI is the broader concept of machines being able to carry out tasks in a smart way, often involving decision-making and problem-solving.

    • ML is a subset of AI that focuses on the development of algorithms and statistical models that allow machines to learn from and make pred...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and keep your communication skills good

Data Annotation Engineer Interview Questions & Answers

user image Gaurav Singh kushwaha

posted on 3 Dec 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Assignment 

Aptitude test and english test

Interview Preparation Tips

Interview preparation tips for other job seekers - Great company for freshers.

Data Annotation Engineer Interview Questions Asked at Other Companies

Q1. What do you know about data annotation?
asked in Flipside AI
Q2. How many year of experience do you have in data annotation
Q3. How many year experience in Data Annotation role
Q4. What knowledge do you have about machine learning?
asked in Cogito Tech
Q5. Introduction and what is AI model
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Q2. Tell me about GIS
  • Ans. 

    GIS stands for Geographic Information System, a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data.

    • GIS integrates spatial data (maps, satellite images, etc.) with attribute data (population statistics, land use, etc.)

    • It is used in various industries such as urban planning, environmental management, transportation, and telecommunications

    • GIS helps in making informed dec...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed in Apr 2023.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - HR 

(1 Question)

  • Q1. Introduction and what is AI model
  • Ans. 

    AI model is a computer program that can learn and make predictions based on data.

    • AI model uses algorithms to analyze data and identify patterns.

    • It can be trained on large datasets to improve accuracy.

    • Examples include image recognition, speech recognition, and natural language processing.

    • AI models require data annotation to improve their accuracy and performance.

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Image editing with given tools
  • Ans. 

    Image editing tools are essential for data annotation engineers to ensure accuracy and consistency in labeling.

    • Familiarity with popular image editing software such as Adobe Photoshop and GIMP

    • Ability to perform basic editing tasks such as cropping, resizing, and adjusting brightness/contrast

    • Knowledge of advanced editing techniques such as layering and masking

    • Understanding of color spaces and color correction

    • Experience w...

  • Answered by AI
Round 4 - One-on-one 

(1 Question)

  • Q1. Manager round with any manager

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Intro
2 what is AI.
3 self confidence
4. Basic excel
5. Basic English

Cogito Tech interview questions for designations

 Data Annotator

 (3)

 Data Analyst

 (1)

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(7 Questions)

  • Q1. Tell me about yourself?
  • Q2. Tell me about your recent Project in Detail?
  • Q3. What is the Diff between Parameters and Hyper Parameters?
  • Q4. Can we use Logistic Regression for Multi Class Classification?
  • Q5. What will happen if we will increase the value of K in KNN?
  • Q6. If you have 50 GB of training data and you want to train your Neural Network on you Local 2 GB RAM, what will you do?
  • Q7. What is imbalanced Data?
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(3 Questions)

  • Q1. Bias variance trade off
  • Q2. What is AB testing
  • Ans. 

    AB testing is a method used to compare two versions of a webpage or app to determine which one performs better.

    • AB testing involves creating two versions (A and B) of a webpage or app with one differing element

    • Users are randomly assigned to either version A or B to measure performance metrics

    • The version that performs better in terms of the desired outcome is selected for implementation

    • Example: Testing two different call...

  • Answered by AI
  • Q3. Basic traditional ML question about ML metrics, bagging boosting etc.
Round 2 - Assignment 

It was a classification problem

Round 3 - Technical 

(3 Questions)

  • Q1. Questions about assignment
  • Q2. Questions from resume.
  • Q3. Questions based on probability, statistics and loss functions

Interview Preparation Tips

Topics to prepare for Talentica Software Data Scientist interview:
  • NLP
  • Machine Learning
Interview preparation tips for other job seekers - Get clear with the ML, statistics and data science basics. Practice problems based on probability.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Instahyre and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Coding round had one SQL and one Python question. And some mcqs around python and math

Round 2 - One-on-one 

(2 Questions)

  • Q1. It was on store and products querying with SQL
  • Q2. Same questions were asked in Python
Round 3 - One-on-one 

(1 Question)

  • Q1. It was a techno-managerial round with some guesstimates and about my recent projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Please be thorough with your projects and practice some guesstimates
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Java questions and data engineering
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Feb 2024. There were 3 interview rounds.

Round 1 - Coding Test 

The first round was a combination of MCQs and SQL Coding test. It consisted of 23 MCQs on SQL, 10 MCQs on Power BI and 5 SQL Coding questions.

Round 2 - Technical 

(1 Question)

  • Q1. Simple questions on SQL were asked.
Round 3 - One-on-one 

(5 Questions)

  • Q1. What is pivot table in Excel?
  • Ans. 

    A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.

    • Pivot tables allow you to analyze and summarize large amounts of data in a spreadsheet.

    • You can easily rearrange the layout of the data to view it from different perspectives.

    • Pivot tables can perform functions like sum, average, count, and more on the data.

    • They are useful for creating reports...

  • Answered by AI
  • Q2. What is 'Data Validation' in Excel?
  • Ans. 

    Data Validation in Excel ensures that data entered in a cell meets certain criteria or conditions.

    • Data Validation allows you to set rules for what can be entered in a cell, such as a range of values, a list of items, or a custom formula.

    • Examples of Data Validation include setting a drop-down list of options for a cell, restricting input to a certain number range, or ensuring dates are entered in a specific format.

    • Data ...

  • Answered by AI
  • Q3. What is the order of execution of an SQL query?
  • Ans. 

    The order of execution of an SQL query involves multiple steps to retrieve data from a database.

    • 1. Parsing: The SQL query is first parsed to check for syntax errors.

    • 2. Optimization: The query optimizer creates an execution plan to determine the most efficient way to retrieve data.

    • 3. Compilation: The optimized query is compiled into an executable form.

    • 4. Execution: The compiled query is executed by the database engine t...

  • Answered by AI
  • Q4. What is the difference between Tree Map and Heatmap in Tableau?
  • Ans. 

    Tree Map visualizes hierarchical data using nested rectangles, while Heatmap displays data values using color gradients.

    • Tree Map displays data hierarchically with nested rectangles, where the size and color represent different measures.

    • Heatmap visualizes data values using color gradients, with darker colors indicating higher values.

    • Tree Map is useful for showing hierarchical data structures, while Heatmap is effective ...

  • Answered by AI
  • Q5. What is the difference between 'Extract Data' and 'Live Connection' in Tableau?
  • Ans. 

    Extract Data saves a snapshot of data in Tableau workbook, while Live Connection directly connects to data source.

    • Extract Data creates a static copy of data in Tableau workbook, while Live Connection directly queries data source in real-time.

    • Extract Data is useful for working offline or with small datasets, while Live Connection is ideal for large datasets or when data is frequently updated.

    • Extract Data can improve per...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Affine Data Analyst interview:
  • SQL
  • Power Bi
  • Tableau
  • Excel

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Apr 2024. There were 2 interview rounds.

Round 1 - Assignment 

It was a written test where theoretical SQL questions were asked like primary key, foreign key, set operators and some queries

Round 2 - Technical 

(1 Question)

  • Q1. All SQL Concepts like Join, normalization, trigger, stored procedure, keys, drop truncate del difference, where having difference, Aggregate scaler window functions, fetch duplicate records query, acid pro...

Interview Preparation Tips

Topics to prepare for Saama Technologies Data Engineer interview:
  • SQL
  • Python
  • Pyspark
Interview preparation tips for other job seekers - Clear your concepts deeply with examples sothat you can able to explain it..

Cogito Tech Interview FAQs

How many rounds are there in Cogito Tech Data Annotation Engineer interview?
Cogito Tech interview process usually has 1-2 rounds. The most common rounds in the Cogito Tech interview process are HR, One-on-one Round and Resume Shortlist.
What are the top questions asked in Cogito Tech Data Annotation Engineer interview?

Some of the top questions asked at the Cogito Tech Data Annotation Engineer interview -

  1. Introduction and what is AI mo...read more
  2. What is difference between AI and ...read more
  3. Image editing with given to...read more

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Cogito Tech Data Annotation Engineer Interview Process

based on 3 interviews in last 1 year

Interview experience

4
  
Good

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Cogito Tech Data Annotation Engineer Salary
based on 32 salaries
₹1.6 L/yr - ₹3.9 L/yr
At par with the average Data Annotation Engineer Salary in India
View more details

Cogito Tech Data Annotation Engineer Reviews and Ratings

based on 10 reviews

2.7/5

Rating in categories

2.2

Skill development

2.6

Work-Life balance

2.8

Salary & Benefits

2.6

Job Security

2.4

Company culture

1.8

Promotions/Appraisal

2.4

Work Satisfaction

Explore 10 Reviews and Ratings
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