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Zensar has shared an opportunity for candidates interested in Data Annotation, Data Labelling, and Data Collection work from home.
The opportunity is offered as a 2-month assignment starting from 1 September 2026.
Selected candidates will be required to work from home using their own personal laptop.
The stated payout for the assignment is ₹50,000 per month.
Candidates interested in data annotation and data labelling work can submit their details through the candidature form shared by Zensar.
Zensar Data Annotation Recruitment 2026 – Overview
Company: Zensar
Job Role: Data Annotation & Data Labelling
Work Mode: Work From Home
Assignment Duration: 2 Months
Start Date: 1 September 2026
Payout: ₹50,000 Per Month
Device Requirement: Personal Laptop Mandatory
Work Type: Data Collection / Data Labelling / Data Annotation
Opportunity Type: Temporary Assignment
About Zensar
Zensar is a digital solutions and technology services company that works with organizations across different industries on digital transformation initiatives.
Zensar is a subsidiary of the RPG Group and has its headquarters in India.
The company has a global presence with offices across locations including Mexico, South Africa, the United Kingdom, and the United States.
About the Data Annotation Opportunity
Zensar is inviting candidates to explore a work-from-home opportunity involving data collection, data labelling, and data annotation.
Data annotation is an important part of modern Artificial Intelligence and Machine Learning development.
Annotated datasets are used to train and evaluate AI and machine learning models.
Depending on the specific project, candidates may work with different types of data and follow predefined guidelines to label or classify information.
Work From Home Opportunity
The position is offered as a Work From Home assignment.
Candidates will be able to perform the assigned work remotely.
Since the work will be performed remotely, candidates are required to have access to their own laptop.
A stable internet connection and a suitable working environment can also be important for completing the assignment efficiently.
Assignment Duration
The stated assignment duration is 2 months.
The assignment is scheduled to begin on 1 September 2026.
Candidates should therefore be available to work during the assignment period if they are selected.
Payout
The stated payout is:
₹50,000 per month
Since the assignment duration is two months, candidates should understand the exact payment terms, eligibility conditions, working hours, and payment schedule from the official communication or form before accepting the assignment.
Personal Laptop Requirement
A personal laptop is mandatory for this opportunity.
Candidates will be working on their own device while completing the data annotation and data labelling assignment.
Candidates should ensure that their laptop meets any technical requirements specified by the project team.
What is Data Annotation?
Data annotation involves adding labels or tags to raw data so that it can be used by AI and Machine Learning systems.
Depending on the project, annotation may involve working with images, text, audio, video, documents, or other types of data.
For example, an image annotation project may require identifying objects within an image and assigning appropriate labels.
A text annotation project may involve classifying text according to predefined categories.
What is Data Labelling?
Data labelling is the process of assigning meaningful labels to data according to specific instructions.
The labelled data can then be used to train or evaluate machine learning and artificial intelligence models.
Candidates working in data labelling need to carefully follow project guidelines and maintain consistency while processing large amounts of information.
Possible Responsibilities
Candidates selected for a data annotation or data labelling assignment may be required to collect and organize data according to project requirements.
They may need to label datasets using predefined categories.
They may review existing annotations and identify incorrect or inconsistent labels.
They may follow detailed annotation guidelines provided by the project team.
They may perform quality checks on annotated data.
They may maintain accuracy and consistency while processing datasets.
The exact responsibilities can vary depending on the project assigned to the candidate.
Skills That Can Help
Candidates interested in this opportunity should have good attention to detail.
They should be able to follow instructions accurately.
Good reading and comprehension skills can be useful for text-based annotation projects.
Candidates should be comfortable working with computers and web-based tools.
Basic knowledge of data, AI, Machine Learning, or annotation platforms can be beneficial but the exact requirements may depend on the assignment.
Who Can Apply?
The communication describes this opportunity as being for experienced candidates interested in data collection, data labelling, and annotation work.
Candidates should check the official form or communication for the complete eligibility criteria before submitting their details.
Anyone considering the opportunity should also verify the exact project requirements, working hours, selection process, payout terms, and assignment conditions.
Application Form
The shared candidature form begins by asking candidates to provide their:
FULL NAME
Candidates should enter their details accurately when submitting the form.
The form also states that information such as the candidate's name and email address will not automatically be collected unless the candidate provides it.
Important Points Before Applying
Candidates should have a personal laptop because the communication specifically states that candidates will work using their own device.
The assignment is stated to begin on 1 September 2026.
The assignment duration is stated as 2 months.
The stated payout is ₹50,000 per month.
Candidates should carefully verify all terms directly with the official Zensar communication or authorized recruitment contact before sharing personal information or beginning the assignment.
Candidates should also be cautious about anyone requesting money, registration fees, security deposits, or other payments in exchange for this opportunity.
Frequently Asked Questions
What is the Zensar opportunity?
It is a Data Annotation and Data Labelling work-from-home assignment.
What is the work mode?
The opportunity is Work From Home.
What is the assignment duration?
The stated duration is 2 months.
When does the assignment start?
The stated start date is 1 September 2026.
What is the payout?
The communication states a payout of ₹50,000 per month.
Is a laptop required?
Yes. A personal laptop is mandatory according to the opportunity details.
What type of work is involved?
The opportunity involves data collection, data annotation, and data labelling.
Is this a permanent job?
The provided communication describes it as a 2-month assignment, so candidates should not assume it is a permanent position.
Who is this opportunity for?
The communication specifically mentions experienced candidates interested in data collection, annotation, and data labelling.
Is prior AI knowledge mandatory?
The provided details do not specify a mandatory AI or Machine Learning qualification. Candidates should check the official form and project-specific requirements.
Can freshers apply?
The provided communication specifically describes the opportunity for experienced candidates, so freshers should verify eligibility before applying.
Final Words
The Zensar Data Annotation & Data Labelling Work From Home Opportunity 2026 offers a short-term remote assignment involving data collection, data annotation, and data labelling.
The assignment is stated to start on 1 September 2026, continue for 2 months, and provide a stated payout of ₹50,000 per month.
A personal laptop is mandatory because candidates will be working on their own devices.
Candidates interested in AI data work, data labelling, machine learning datasets, and remote annotation assignments can explore the opportunity, while carefully verifying the official eligibility criteria and payment terms before proceeding.
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