Data Labeling for AI Projects
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 us with the subject line: Application – Data Labeling Specialist. Shortlisted applicants will be contacted for a remote skills assessment and orientation session.
Apply Now
Apply Now
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 us with the subject line: Application – Data Labeling Specialist. Shortlisted applicants will be contacted for a remote skills assessment and orientation session.
Apply Now
Apply Now