LAT Aerospace Data Annotation Intern Recruitment 2026 – Gurugram, 3-Month Internship
LAT Aerospace is hiring a Data Annotation Intern for a three-month internship in Gurugram. The role is on-site and is expected to start immediately.
This internship goes beyond basic data-labeling work. Interns will work with perception machine learning models, support model testing, participate in fine-tuning and training runs, and gain exposure to field deployment using real aerospace data.
The opportunity is suitable for candidates interested in computer vision, machine learning, and applied AI, with no prior experience required. The company is looking for candidates who are curious, detail-oriented, and comfortable learning new tools.
LAT Aerospace Data Annotation Intern – Overview
| Particular | Details |
|---|---|
| Company | LAT Aerospace |
| Position | Data Annotation Intern |
| Duration | 3 months |
| Location | Gurugram |
| Work Mode | On-site |
| Start Date | Immediately |
| Experience | No prior experience required |
| Focus Areas | Data Annotation, Computer Vision, Machine Learning |
| Application | Email or Direct Message |
| Stipend | Not specified |
| Application Deadline | Not specified |
| Selection Process | Not specified |
About the LAT Aerospace Internship
The Data Annotation Intern role is designed to provide practical exposure to aerospace-focused machine learning systems.
According to the supplied opportunity, interns will not be limited to labelling data. They will interact with perception ML models, help test these models, and participate in fine-tuning and training runs involving real aerospace data.
The role can therefore provide exposure to several stages of an applied machine learning workflow.
What Does a Data Annotation Intern Do at LAT Aerospace?
The intern will primarily work with video data used by perception machine learning models.
The role includes three broad areas:
- Data annotation and labelling
- Model training and fine-tuning support
- Model testing and field deployment
This makes the position relevant to candidates interested in understanding how machine learning models are developed and evaluated using real-world data.
Key Responsibilities
Annotate and Label Video Data
Interns will annotate and label video data used for perception ML models.
This work requires accuracy and consistency because the labelled data can be used in machine learning training and evaluation workflows.
Support ML Model Training and Fine-Tuning
The internship also provides exposure to the model development process.
Interns will support:
- Training runs
- Fine-tuning
- Perception algorithms
The supplied description refers to the use of the latest perception algorithms, giving interns exposure to ongoing ML development work.
Test Perception Models
Interns will participate in testing perception machine learning models.
This provides an opportunity to see how models perform beyond the data-annotation stage and how their behaviour is evaluated during development.
Participate in Field Deployment
The role also includes participation in field deployment.
This means the internship can provide exposure to the application of perception models in real-world aerospace environments.
Eligibility and Who Can Apply
LAT Aerospace states that no prior experience is needed.
The company is looking for candidates who have:
- An interest in computer vision or machine learning
- Curiosity about technology
- Strong attention to detail
- Comfort with detail-heavy work
- Ability to quickly learn new tools
The supplied opportunity does not specify a mandatory degree, branch, graduation year, CGPA, or percentage requirement.
Skills and Qualities
Interest in Computer Vision or Machine Learning
Candidates should have an interest in computer vision or ML.
Prior professional experience is not required, so candidates can demonstrate this interest through coursework, personal learning, projects, or general technical curiosity.
Attention to Detail
Data annotation involves detail-heavy work. Accuracy and consistency are therefore important qualities for the role.
Ability to Learn New Tools
The company is looking for interns who can quickly become comfortable with new tools and workflows.
Internship Duration and Start Date
The internship duration is:
3 months
The position is expected to start:
Immediately
The supplied information does not provide a specific calendar start date.
Work Location
The internship is based in:
Gurugram, Haryana
The role is on-site, meaning interns are expected to work from the designated workplace rather than remotely.
What the Intern Can Gain
The internship offers exposure to multiple stages of an applied perception ML workflow.
Interns can work with:
- Real aerospace data
- Video data annotation
- Perception ML models
- Model testing
- Fine-tuning
- Training runs
- Field deployment
This can be particularly relevant for students or early-career candidates considering careers in computer vision, machine learning, perception systems, or aerospace technology.
How to Apply
Interested candidates can apply by contacting LAT Aerospace through:
Email: hiring@lat.com
The opportunity also states that candidates can send a direct message to the hiring contact.
Candidates applying through email should consider highlighting their interest in computer vision or machine learning and any relevant academic, personal, or project experience, although the supplied posting does not specify a required application format.
Salary and Stipend
The supplied internship announcement does not mention a stipend or salary.
Candidates should confirm compensation details directly with LAT Aerospace during the application process.
Selection Process
No formal selection process is specified in the supplied announcement.
The posting does not mention the number of interview rounds, assessments, assignments, or technical tests.
Important Points
- LAT Aerospace is hiring a Data Annotation Intern.
- The internship is for 3 months.
- The position is based in Gurugram.
- The role is on-site.
- The expected start is immediate.
- No prior experience is required.
- Candidates should be interested in computer vision or machine learning.
- The role involves annotating and labelling video data.
- Interns will support perception model training and fine-tuning.
- Interns will participate in model testing and field deployment.
- The work involves real aerospace data.
- Strong attention to detail is important.
- The stipend is not specified.
- The application deadline is not specified.
- Candidates can apply via hiring@lat.com or by direct message.
- The formal selection process is not specified.
Frequently Asked Questions
What is the LAT Aerospace Data Annotation Intern role?
It is a three-month on-site internship in Gurugram involving video-data annotation, perception ML model testing, training, fine-tuning, and field deployment.
Is prior experience required?
No. The opportunity specifically states that no prior experience is needed.
What educational qualification is required?
The supplied announcement does not specify a particular degree, branch, graduation year, CGPA, or percentage requirement.
Where is the internship located?
The internship is based in Gurugram and is on-site.
What is the internship duration?
The duration is three months.
When does the internship start?
The announcement states immediately, but does not provide a specific calendar date.
What kind of data will interns work with?
Interns will annotate and label video data used for perception machine learning models, including work involving real aerospace data.
Will the intern work on machine learning models?
Yes. The role includes supporting model testing, fine-tuning, training runs, and field deployment.
Is a stipend mentioned?
No stipend or salary is specified in the supplied announcement.
How can I apply?
Candidates can email hiring@lat.com or contact the hiring person directly through a message.