Research & Evaluation Project
Revelo
Main Activities
As a Research Specialist in LLM Training, you will engage in qualitative and structured evaluations to enhance AI performance. Your key activities will include:
- Prompt Analysis: Reviewing user prompts to assess clarity, relevance, research context, and domain alignment.
- Response Evaluation: Analyzing multiple AI-generated responses to evaluate accuracy, depth of research, formatting, and adherence to instructions.
- Comparative Assessment: Determining the preferred AI response based on established dimensions (such as factuality, reasoning quality, and source reliability) and writing concise explanations for your choices.
- Feedback & Edge-Case Identification: Providing actionable feedback and flagging hallucinated or inaccurate research insights to help refine future model iterations.
Skills
Research Analysis, Fact-Checking, Critical Thinking, Technical Writing
Duration
Continuous / Fast-Moving
New to LLM Training?These are projects where you use your technical expertise to help improve AI models. You'll work on tasks like evaluating code, testing AI-generated solutions, and providing feedback that directly teaches AI systems to become better at programming. This is freelance work with flexible hours, so you can work on your own schedule. Highly recommended read here: .
Revelo runs these as freelance AI training (LLM Training) projects with flexible hours. Log in or sign up on Revelo to apply.
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