Senior Language Engineer

Key Responsibilities

• Define requirements and own the end-to-end pipeline for creating high-quality datasets for voice agent use cases, across both text and audio modalities.
• Engineer web-scale data pipelines and apply synthetic generation techniques to produce high-quality training and evaluation data.
• Coordinate and manage a human annotation workforce: author guidelines, define quality targets, and QA annotator output.
• Build data processing and cleaning pipelines that align datasets to production needs, balancing coverage across use cases, languages, and domains.
• Analyze production logs, curated datasets, and other sources to surface failure patterns and identify high-leverage areas for targeted data collection.
• Apply linguistic taste to judge which outputs are more natural, conversational, and humanlike, and produce preference data that encodes that judgment.
• Partner with researchers and engineers to drive each modeling iteration.

Requirements

• 2+ years of experience in computational linguistics, language data processing, or a similar field, including hands-on work with large-scale text and audio datasets.
• Highly technical: fluent at writing scripts for data processing and at leveraging models for synthetic data generation.
• Native-level command of English, with the confidence to make opinionated linguistic calls about what sounds natural in voice agent conversations.

Nice-to-Haves

• A strong applied ML background in language or audio modeling — ideally having contributed to the data pipelines behind a well-known audio or language model.
• A PhD in Computational Linguistics or an equivalent field with computational emphasis.
• Experience managing human annotation and evaluation teams.
• Excitement for building scalable systems that bridge research and production.

Compensation and Benefits

• Cash compensation: $200,000 - $290,000
• Equity provided
• 100% coverage for medical, dental, and vision insurance
• $70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks
• $200/month wellness reimbursement (gym, fitness classes, etc.)
• $300/month commuter reimbursement (gas, Caltrain, etc.)
• $75/month phone bill reimbursement
• $50/month internet reimbursement