AI Data Annotation Specialist

About OpenTrain

OpenTrain is a centralized job board for data-labeling and AI-training work. We aggregate opportunities from many AI teams and labeling platforms so contributors can discover and apply to relevant projects in one place.

Creating an OpenTrain account is free, and the platform highlights flexible, accessible roles that help people contribute to real AI systems. This posting is for a contractor role with OpenTrain AI.

• Centralized listings for data-labeling and AI-training jobs
• Projects span annotation, transcription, evaluation, and more
• OpenTrain makes it easier to find flexible, entry-friendly gigs

About AI training work

AI training (also called data labeling or annotation) is the human side of building machine learning systems. Annotators create and verify examples—labeling code, text, images, and audio—that models learn from.

This kind of work is meaningful and often flexible: tasks range from precise code labeling to tagging audio or images, and contributors directly influence how models behave and improve.

• Human-created examples are essential to training accurate, safe AI
• Typical tasks include annotating text, images, audio, and code
• Many projects are flexible and accessible to people with attention to detail

The role

Title: AI Data Annotation Specialist. Employer: OpenTrain AI. Employment type: Contractor, part-time. This role focuses on annotating computer-programming data and related data-collection tasks using the client-provided labeling software (listed as OTHER).

Candidates must be Indian nationals based in India and hold a Bachelor's degree in Computer Science or a related field. The position expects an expert level of professionalism and attention to detail and requires less than 20 hours of work per week.

• Location requirement: Indian nationals based in India
• Education: Bachelor's in Computer Science or related required
• Experience level: Expert
• Hours: Less than 20 hours per week (part-time)
• Employment: Contractor
• Labeling software: OTHER (client-provided tool)
• Data focus: Computer code/programming and data collection
• Payment: Fixed-price USD 10

What you'll do

You will perform high-quality annotation and data-collection tasks centered on programming/code samples and related content. Work will follow detailed guidelines and quality checks provided by the project.

• Annotate and label code snippets, functions, and programming-related text
• Perform related data-collection tasks across text, image, or audio where required
• Follow written annotation guidelines and apply consistent labeling
• Review and verify previously labeled items for accuracy when requested
• Meet deadlines and maintain high accuracy under expert-level expectations
• Use the provided 'OTHER' labeling software to complete tasks

Requirements

Applicants must meet the stated eligibility and skill requirements. Preferred qualifications are listed where applicable.

• Nationality/location: Indian national based in India (required)
• Education: Bachelor's degree in Computer Science or a related field (required)
• Experience: Expert-level professionalism expected; prior annotation experience preferred but not strictly required
• Skills: Strong attention to detail, basic computer skills, reliable at meeting deadlines
• Availability: Able to commit to under 20 hours per week

Who should apply

This role is a fit for candidates with a technical background who enjoy precise, detail-focused work. If you have a CS-related degree, comfort reading and labeling code, and a steady, deadline-driven work style, you should apply.

• Computer-science graduates who like methodical work and quality control
• Annotators with prior tagging or data-collection experience (preferred)
• Contractors seeking part-time, flexible hours within the stated time limit

How to apply

To apply, send your resume as instructed in the posting. Include the exact subject line shown below so your application is routed correctly.

• Application instruction: Send resume to me with subject "AI Annotation - [Your Name]"
• Include your degree, a brief note about any annotation experience, and your typical weekly availability (under 20 hours)
• Applications will be reviewed by the hiring team; follow-up instructions will be provided to shortlisted candidates