Data Labeling for AI Projects

The Elitejob; India; On-site; INR 1,822,222 - 3,037,036; Full time

Benefits offered by this job

Remote-first work culture

Paid training and upskilling opportunities

Performance-based incentives

Job summary

A technology company is seeking detail-oriented individuals for the role of Data Labeling Specialist. This remote position involves labeling and categorizing datasets to contribute to AI development. Applicants should have strong attention to detail and English proficiency. Training provided; flexible part-time or full-time shifts available, with a competitive pay structure.

Qualifications

• Strong attention to detail and ability to follow complex instructions accurately.
• Proficiency in English (reading and comprehension).
• Basic computer literacy and comfort with online annotation tools/platforms.

Responsibilities

• Label, annotate, and categorize large datasets according to predefined instructions.
• Ensure high accuracy and consistency in labeling tasks.
• Collaborate with AI trainers and data scientists for task alignment.

Skills

Attention to detail

Proficiency in English

Basic computer literacy

Time management

Reliability

Job description

Job Summary

Progressive Technology is seeking meticulous and detail-oriented individuals to join our AI division as Data Labeling Specialists. This is a fully remote opportunity, ideal for candidates who are passionate about contributing to the development of next-generation Artificial Intelligence systems. As a Data Labeler, you will play a crucial role in training machine learning models by annotating text, images, audio, or video data according to specific project guidelines. No coding or technical background is required—only a keen eye for accuracy, consistency, and structure.

Key Responsibilities

• Label, annotate, and categorize large datasets (text, images, videos, audio) according to predefined instructions.

• Ensure high accuracy and consistency in labeling tasks, following quality standards.

• Provide feedback to improve annotation guidelines or tooling processes.

• Collaborate with AI trainers, data scientists, and QA teams for task alignment and output validation.

• Participate in training and calibration sessions to stay up to date with evolving project requirements.

• Meet daily/weekly productivity targets and maintain work logs for progress tracking.

Required Skills and Qualifications

• Strong attention to detail and the ability to follow complex instructions accurately.

• Proficiency in English (reading and comprehension).

• Basic computer literacy and comfort with online annotation tools/platforms.

• Ability to work independently, manage time efficiently, and deliver consistently.

• Reliable internet connection and a personal laptop or desktop.

Experience

• No prior experience required; training will be provided.

• Previous work in data entry, content moderation, QA, or customer support is an added advantage.

Working Hours

• Flexible shifts: Choose between part-time (4 hours/day) or full-time (8 hours/day).

• Monday to Friday (weekend availability is a plus but not mandatory).

• Work from the comfort of your home, with asynchronous task completion.

Knowledge, Skills, and Abilities

• High concentration for repetitive tasks.

• Ability to maintain focus and accuracy under minimal supervision.

• Understanding of cultural nuances or domain-specific knowledge (e.g., e-commerce, healthcare, social media) is beneficial.

• Familiarity with cloud-based platforms (Google Drive, spreadsheets, or CMS tools) is a plus.

Benefits

• Remote-first work culture with flexible scheduling.

• Competitive hourly pay with performance-based incentives.

• Paid training and upskilling opportunities in AI/ML workflows.

• Opportunity to grow into QA or Project Coordinator roles.

• Work on real-world AI development projects with global impact.

Why Join Progressive Technology?

At Progressive Technology, we are building the future of AI by combining the power of machine learning with human intelligence. As a Data Labeling Specialist, you will be at the forefront of this exciting transformation. We foster a supportive environment, value precision and curiosity, and reward those who are committed to quality and innovation. Join us to be part of a team that is shaping the digital future—one labeled dataset at a time.

How to Apply

Interested candidates should submit their application via our official careers page or send a resume to uswith the subject line: Application – Data Labeling Specialist. Shortlisted applicants will be contacted for a remote skills assessment and orientation session.