Jwumasay joo-maJwumasay joo-maCorpshore AI's onsite RLHF Preference Annotator role in Manila, Philippines pays annotators to compare AI model outputs against a rubric and produce ranked preference data for LLM alignment, on an hourly contract with no AI background required.
Manila is one of Corpshore AI's core English-language delivery hubs. As an onsite RLHF Preference Annotator, you'll compare pairs (or sets) of AI model responses against a structured rubric and produce the ranked preference data that foundation-model teams use to align large language models, the same category of work behind Corpshore AI's 4.2M-preference-pair alignment programs.
They compare pairs of AI model outputs against a rubric and rank which response is better, producing the labeled preference data used to align large language models through reinforcement learning from human feedback.
No. Strong reading comprehension, written English and sound judgment matter most; the rubric and Jwuma platform are trained on the job.
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