A leading AI research company in San Francisco is seeking a candidate to design datasets and evaluation frameworks that shape AI model training. Responsibilities include collaborating with research teams, running experiments, and developing metrics to assess model improvement. Ideal candidates are undergraduates or master's students with strong skills in data structure and evaluation methodologies. Total compensation ranges from $250k to $450k plus equity, reflecting the candidate's experience and contributions.
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