Топовая зарплата и работа с передовым ИИ в xAI, но будь готов к жесткому графику и возможным выходам в выходные.
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Риск переработокВысокая зарплатаПередовой стекТрендовый доменЧеткие задачи
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Human Data Engineer (AI): Designing and delivering high-value human data projects, evaluation strategies, and annotation systems for AI model development with an accent on data quality, truthfulness, and measurable evaluation impact. Focus on building data-effectiveness tools, improving multimodal collection workflows, and shaping model behavior through rigorous training and evaluation data.
Location: Palo Alto, California, United States. Weekend work and travel to other sites may be required.
Salary: $144,000–$270,000 USD
Company
AI research and product organization developing systems designed to understand the universe and support human knowledge.
What you will do
Partner with model and engineering teams to translate technical needs into data projects and evaluation strategies.
Own end-to-end delivery of training-data and evaluation initiatives that capture meaningful signals for rapid model development.
Build measurement tools for data yield, evaluation lift, usage, and overall data effectiveness.
Research and evaluate data collection, annotation, generation, and multimodal integration techniques.
Design annotation workflows, labeling interfaces, and supporting tools focused on factual accuracy and data integrity.
Coordinate with engineering, technical staff, Human Data Operations, and tutoring teams to scale projects and share insights.
Requirements
Bachelor’s degree in engineering, computer science, or a related STEM discipline, or 4+ years of equivalent experience.
Experience collaborating across engineering, research, product, annotation, or operations teams.
Experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems.
Experience with Python or another scripting language.
Experience with SQL or other data-analysis tools.
Availability for possible weekend work and travel to other company sites.
Nice to have
Master’s degree or higher in a relevant technical field.
Experience curating, evaluating, or improving datasets for large language models or other AI/ML systems.
Experience optimizing annotation tools, labeling interfaces, or data workflows.
Familiarity with multimodal or domain-specific data, including science, mathematics, programming, or current events.
Experience evaluating model or dataset quality, truthfulness, or alignment with product goals.
Culture & Benefits
Small, highly motivated team focused on engineering excellence and curiosity.
Flat structure with hands-on contribution expected across the organization.
Equity as part of the total rewards package.
Medical, vision, and dental coverage.
401(k), disability insurance, life insurance, discounts, and additional perks.
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