Punjabi AI Response Evaluator (Remote, Part-Time)

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help freelancers discover projects, build a unified portfolio of AI training work, and grow a durable freelance career in the human side of AI development.

About AI training work

AI training (also called data labeling or human feedback work) is how people teach AI systems to understand language and make better decisions. Tasks include evaluating model outputs, annotating text, and giving structured feedback so models learn from real human judgment.

These roles are typically 100% remote, flexible, and accessible: many projects need language fluency, attention to detail, or domain knowledge rather than formal industry experience.

The role

You will evaluate Punjabi-language model outputs for factual accuracy, reasoning quality, clarity, tone, and completeness. Your consistent, evidence-based feedback will be used to improve model behavior in real-world conversational tasks.

• Review Punjabi AI-generated responses and judge whether they are accurate, incomplete, or misleading.
• Assess reasoning quality, clarity, tone, conversational fit, and overall helpfulness.
• Provide concise, consistent evaluation feedback that can be used by model trainers and engineers.

What you'll do day-to-day

• Read model responses in Punjabi and compare them to prompt/context to check factual accuracy.
• Rate responses on predetermined scales (e.g., correctness, helpfulness, coherence) and write short justifications.
• Flag hallucinations, misinformation, or unsafe content and suggest corrections when applicable.
• Follow annotation guidelines precisely and maintain high inter-rater consistency.

Requirements

• Native fluency in Punjabi (pa) for evaluating Punjabi language outputs.
• Strong English writing and editing ability to produce clear, nuanced feedback.
• Bachelor’s degree.
• Significant practical experience using large language models in workflows.
• Strong attention to detail and comfort with evidence-based critique and fact-checking.
• Available for 20+ hours per week; contractor, part-time engagement. This role is open worldwide.

Helpful background

• Experience with RLHF, model evaluation, or data annotation projects.
• Experience comparing multiple model outputs and making fine-grained qualitative judgments.
• Experience writing or editing high-quality written content and explaining editorial decisions.

Compensation, data types, and how to apply

Pay: $15–$20 per hour (hourly, USD). Work type: contractor, part-time, remote. Expected time commitment: 20+ hours/week. You will be rating and annotating text (label types: RLHF, evaluation ratings, question answering).

To apply, create or sign in to your OpenTrain account and submit your application. OpenTrain is the hiring organization for this project and will manage onboarding, guidelines, and payments.