AI Quality Analyst — Text Annotation

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. The platform connects people with projects that teach and shape how AI systems behave, offering flexible remote work that fits study, family, or other jobs.

• OpenTrain focuses on building careers in AI training and annotation.
• Many projects are entry-level, remote, and let you choose hours and workload.

About AI Training Work

AI training (also called data labeling or human feedback) is the human side of building intelligent systems. Contributors review and rate examples — like text prompts and model replies — so models learn correct, safe, and useful behavior.

This role is a great way to get hands-on experience in a fast-growing tech field: tasks are concrete, examples are provided, and your work directly affects how models respond.

• You’ll help teach models by labeling text for accuracy, relevance, clarity, and safety.
• Most projects are accessible to beginners; specialist work may pay more for expertise.

The Role

We’re hiring entry-level AI Quality Analysts to evaluate AI-generated text. You will review prompts and responses, apply labels based on provided guidelines, and help maintain high annotation standards through quality checks and audits.

This is a contract, part-time role that accepts contributors worldwide. Expected commitment is less than 20 hours per week.

• Job type: Contractor, Part-time.
• Workload: Less than 20 hours/week (flexible scheduling).
• Location: Remote — worldwide.

What You’ll Do

Your main tasks are to read prompts and AI responses, then assign labels and classifications according to clear, pre-defined guidelines and examples. Each response will be evaluated for multiple factors so models improve across dimensions.

• Label responses for accuracy, relevance, clarity, and safety.
• Perform classification and text-generation related annotation tasks.
• Follow examples and guidelines to ensure consistent labeling.
• Participate in periodic quality checks and random audits.

Requirements

Candidates should have basic English reading and writing skills, strong attention to detail, and the ability to follow labeling guidelines carefully. A stable internet connection is required, and contributors must meet assigned weekly targets.

Prior data-labeling experience is a plus but not mandatory — training and examples will be provided to help you get started.

• Basic English reading and writing skills required.
• Attention to detail and ability to follow guidelines.
• Stable internet connection mandatory.
• Must be able to meet weekly targets.
• Prior annotation experience helpful but not required.

Compensation & Tools

This role pays USD 5.00 per hour on a pay-per-hour basis. You will use text annotation tools designated by the project (). Exact payment timing and platform details will be provided if you are accepted.

• Pay: $5.00 USD per hour (pay-per-hour).
• Data type: Text (classification and text-generation labels).
• (project will provide access/instructions).

How It Works

If selected, you’ll receive onboarding with clear instructions, examples, and practice tasks. Work is monitored through routine quality checks and random audits to ensure consistent labeling standards. As a contractor you can usually set flexible hours within the project’s expectations.

• Onboarding includes guidelines, examples, and practice annotations.
• Ongoing QA and random audits help maintain label quality.
• Flexible scheduling — choose hours that fit your availability.