Data Associate; Data Annotation Specialist

Position: Data Associate (Data Annotation Specialist)
Location: Sabarmati

Role Overview

Our product offers critical sales intelligence signals to B2B Suppliers and Distributors. We are building a team of Data Associates in Ahmedabad, India who will be managing data clean up and tagging for this platform.

As a Data associate you will play a crucial role in machine learning and AI development by labeling, categorizing, and enriching raw data such as images, text, audio or video to make it useful for training AI models. The ideal candidate has a strong track record of research analysis, driving measurable business results, attention to detail and a collaborative team player.

Building a team of 10 data associates in Ahmedabad
Strictly Work from Office from Ahmedabad

Working Hours:

2pm – 11 pm IST

Key Job Responsibilities

Labeling and tagging data (text, images, audio, or video) on daily basis by adhering to Standard Operating Procedures (SOPs) and guidelines.
Identifying and classifying specific features or patterns in datasets
Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
Collaborate with machine learning engineers and data scientists to understand annotation requirements
Participate in process improvement to increase the quality, efficiency, and accuracy of the teams’ processes.
Strong attention to detail and visual-sapital understanding
Basic understanding of image editing or annotation tools
Comfortable working in a non voice, back office environment
Good problem solving skills and a proactive approach to quality control

What Qualifies You

Bachelor's degree or above. Majors in Computer Science, Statistics, Business Analytics, or a related field are preferred;
1 - 3 years of experience as a data annotator
Experience in data tagging, cleaning or Regex
Speak, write, and read fluently in English
Demonstrated ability to be successful in a highly fluid, fast-paced and ambiguous environment
High attention to detail and consistency in applying structured guidelines.
Understanding of data labeling, annotation, and evaluation methodologies.

- Preferred

About Us

Dwij AI Labs builds AI-native engineering teams for companies creating the next generation of AI and SaaS products. With a focus on modern technology stacks, automation, acceleration, and leverage, Dwij AI Labs emphasizes speed, quality, and deep technical understanding. The organization is in a growth phase and is actively building a team to support cutting-edge product development.