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About the Role
We are seeking contractors to support Reinforcement Learning with Human Feedback (RLHF) projects, a core process for training and improving large language models (LLMs). You will provide high-quality feedback on AI-generated responses, helping refine model outputs for accuracy, usefulness, safety, and alignment with human expectations. This is a remote, flexible role suited for detail-oriented individuals who are comfortable working independently.
Responsibilities
- Review and evaluate AI-generated responses for correctness, clarity, and helpfulness.
- Rank multiple AI outputs by quality and relevance according to provided guidelines.
- Provide structured written feedback to guide model improvements.
- Follow detailed annotation instructions with consistency and accuracy.
- Participate in calibration sessions to align with evolving project standards.
- Meet productivity and quality benchmarks (e.g., number of tasks per hour, accuracy scores).
Qualifications
Strong command of English (reading and writing).Ability to analyze text critically and identify errors in logic, tone, or factuality.Comfortable working with evolving guidelines and ambiguous edge cases.Reliable internet connection and ability to work remotely.Prior experience with content moderation, annotation, writing, editing, or teaching is a plus.Familiarity with AI, machine learning, or NLP concepts is beneficial but not required.What We Offer
Flexible schedule : Work from anywhere.Pay : Competitive hourly / project-based compensation.Impact : Contribute to training cutting-edge AI systems used by millions.Growth : Gain experience in the rapidly growing AI / ML ecosystem.Seniority level : Associate
Employment type : Full-time
Job function : Engineering and Information Technology
Industries : Software Development
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