Work Mode: Remote
Engagement Type: Independent Contractor
Schedule: Full-Time or Part-Time Contract

Role:

Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.

This project focuses on evaluating and improving general chat behavior in large language models (LLMs). You will assess model-generated responses across diverse topics, provide high-quality human feedback, and help ensure AI systems communicate in ways that are accurate, well-reasoned, and aligned with human expectations.

What You’ll Do

Evaluate LLM-generated responses on their ability to effectively answer user queries
Conduct fact-checking using trusted public sources and external tools
Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies
Assess reasoning quality, clarity, tone, and completeness of responses
Ensure model responses align with expected conversational behavior and system guidelines
Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines

Who You Are

You hold a Bachelor’s degree
You are a native speaker or have ILR 5/primary fluency (C2 on the CEFR scale) in Arabic
You have significant experience using large language models (LLMs) and understand how and why people use them
You have excellent writing skills and can clearly articulate nuanced feedback
You have strong attention to detail and consistently notice subtle issues others may overlook
You are adaptable and comfortable moving across topics, domains, and customer requirements
You have a background or experience in domains requiring structured analytical thinking (e.g., research, policy, analytics, linguistics, engineering)
You have excellent college-level mathematics skills

Nice-to-Have Specialties

Prior experience with RLHF, model evaluation, or data annotation work
Experience writing or editing high-quality written content
Experience comparing multiple outputs and making fine-grained qualitative judgments
Familiarity with evaluation rubrics, benchmarks, or quality scoring systems

What Success Looks Like

You identify factual inaccuracies, reasoning errors, and communication gaps in model responses
You produce clear, consistent, and reproducible evaluation artifacts
Your feedback leads to measurable improvements in response quality and user experience

Contract and Payment Terms

You will be engaged as an independent contractor.
This is a fully remote role that can be completed on your own schedule.
Projects can be extended, shortened, or concluded early depending on needs and performance.
Payments are weekly on Stripe or Wise based on services rendered.

YO IT CONSULTING

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