Review AI-generated LlamaIndex prompts, responses, and code for accuracy, relevance, and RAG best practices. This part-time contractor role pays $25 per hour and is open to applicants in India.
The Work
You will review AI-generated prompts and responses about LlamaIndex, a tool for building applications that retrieve information for large language models. Your feedback will help improve how AI indexes documents, retrieves structured data, and explains code.
You will assess whether outputs are accurate, relevant, and aligned with good LlamaIndex practices. You will also find errors, inconsistencies, and ways to improve AI-generated explanations and code snippets.
- Review AI-generated prompts and responses related to LlamaIndex.
- Check retrieval-augmented generation, or RAG, outputs for accuracy and relevance.
- Label, categorize, and evaluate AI-generated content.
- Assess document indexing, structured data retrieval, and information processing.
- Identify issues in explanations and code snippets and provide detailed, structured feedback.
What It Pays and Takes
This is a part-time contractor role. The listing labels it entry level, while the role description asks for at least five years of hands-on LlamaIndex and related experience.
- Pay: $25 per hour.
- Time: Less than 20 hours per week.
- Location: India only.
- Language: English.
- Experience: At least 5 years working hands-on with LlamaIndex, RAG systems, document indexing, and structured data retrieval for large language models.
- Skills: Query optimization, vector databases, embeddings, and LlamaIndex integration with large language models.
- Writing: Strong English writing skills for detailed and structured feedback.
How It Works
You apply on OpenTrain, and the employer reviews applications there.
About AI Training Work
AI training is the human work behind systems that generate and understand text and code. Contributors review model outputs, label examples, and explain errors so AI systems can produce more useful and accurate results.