AI ML Data Annotation Intern

Digantara

Bengaluru

On-site

INR 167,000 - 279,000

Part time

6 days ago
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Job summary

Digantara invites applications for an AI/ML Data Annotation Intern in Bengaluru. The role focuses on annotating SSA imagery (blobs, streaks), pre-processing data, and enabling machine-learning readiness through tiling and semi-automatic annotation pipelines.

You will assist in training and validating models, report issues, and help tune hyperparameters. Applicants should be final-year students or freshers with enthusiasm for data annotation and deep learning.

Qualifications

  • Bachelor's or Master's in Electronics, CS, Data Science, AI, Statistics, Astronomy, or related field.
  • Final-year students or freshers with 0-2 years of experience.
  • Interest in data annotation, image labeling, machine learning, and deep learning.

Responsibilities

  • Annotate features such as blobs and streaks in SSA imagery.
  • Use AI/ML models or image processing pipelines for semi-automatic annotation.
  • Pre-process and tile imagery to model input requirements.
  • Assist in training/testing models and document performance benchmarks.
  • Report errors and tune hyperparameters during training and evaluation.

Skills

Image annotation
Python programming
Analytical thinking
Teamwork

Education

Bachelor's or Master's in Electronics/CS/Data Science/AI/Statistics/Astronomy

Tools

CVAT
Roboflow
OpenCV
PyTorch
TensorFlow/Keras

Job description

Job Description:

Digantara is a leading Space Surveillance and Intelligence company focused on ensuring

orbital safety and sustainability. With expertise in space-based detection, tracking,

identification, and monitoring, Digantara provides comprehensive domain awareness across

regimes, allowing end users to have actionable intelligence on a single platform. At the core of

its infrastructure lies a sophisticated integration of hardware and software capabilities aligned

with the key principles of situational awareness: perception (data collection), comprehension

(data processing), and prediction (analytics). This holistic approach empowers Digantara to

monitor all Resident Space Objects (RSOs) in orbit, fostering comprehensive domain

awareness.

Digantara is seeking an AI/ML Data Annotation Intern to accurately annotate features such

as blobs and streaks in SSA imagery captured from ground-based and space-based sensors. The

intern will pre-process and tile the imagery into appropriate tile sizes to make the data machinelearning-ready. The role will also involve partially training, testing, and validating AI/ML

models, along with reporting bugs and identifying hyperparameters that need to be tuned.

Why Us?
  • Competitive incentives, galvanizing workspace, blazing team, frequent outings - pretty

  • much everything you have heard about a start-up, and you get to work on space

  • technology.

  • Hustle in a well-funded start-up, allowing you to take charge of your responsibilities

    and create your moonshot.

Ideal Candidate:
  • Someone with expertise in image-based data annotation for AI/ML, analytical visualization,

  • testing, and validation, preferably working with satellite imagery.

Responsibilities
  • Accurately annotate features such as blobs and streaks in SSA imagery using manual

    or semi-automatic annotation techniques.

  • Use the existing AI/ML models or classical image processing pipelines to perform

    semi-automatic annotation of the features.

  • Pre-process and tile the imagery according to model input requirements.

  • Assist in training and testing the existing models using the prepared datasets, and

    document performance benchmarks for detection and classification tasks.

  • Report errors and identify hyperparameters that need to be tuned during training and

    evaluation.

Required Qualification
  • Bachelor's or Master's degree in Electronics, Computer Science, Data Science,

  • Artificial Intelligence, Statistics, Astronomy, or any relevant field.

  • Final-year students (available for a full-time internship), freshers, or candidates with 0-

    2 years of academic, research, or industry experience, with a strong interest or aptitude

    in data annotation, image labelling, machine learning, and deep learning.

  • Basic understanding of computer vision concepts and satellite imagery, including

    different signal and noise conditions.

  • Strong analytical, problem-solving, and critical-thinking skills.

Preferred Skills
  • Hands-on experience in image data annotation using tools such as CVAT, Roboflow,

    or similar annotation platforms.

  • Proficiency in Python, OpenCV, PyTorch or TensorFlow/Keras; familiarity with

    libraries such as Astropy, Scikit-learn, SciPy, and other relevant libraries is an

    advantage.

  • Familiarity with developing deep learning networks such as CNNs for detection,

    segmentation, and classification tasks.

  • Familiarity with Git and version-control workflows is an advantage.

General Requirements
  • Ability to work in a mission-focused, operational environment.

  • Ability to think critically and make independent decisions.

  • Interpersonal skills to enable working in a diverse and dynamic team.

  • Maintain a regular and predictable work schedule.

  • Writing and delivering technical documents and briefings.

  • Verbal and written communication skills as well as organizational skills.

  • Travel occasionally as necessary.

Job Location: Hebbal, Bengaluru

Requirements:

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