Frontier Data Scientist — Shape Next-Gen AI Training

AfterQuery; San Francisco (CA); On-site; USD 250,000 - 450,000; Full time

Job summary

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.

Qualifications

• Candidates should have research experience at the undergraduate or master's level.
• A strong interest in the impact of data quality on AI model behavior is crucial.
• Ability to work across diverse domains including finance, software engineering, and policy.

Responsibilities

• Design datasets and evaluation frameworks for AI models.
• Build and refine evaluation rubrics for training models.
• Run experiments to improve model capabilities.
• Develop frameworks for measuring dataset quality.
• Collaborate with research teams on training objectives.

Skills

Data structure manipulation

Experience in RL environment companies

Ability to design lightweight experiments

Strong quantitative skills

Education

Undergraduate or Master's degree in a relevant field

Job description

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.