Human Data Engineer: Data Quality & AI Evaluation

xAI; United States; Remoto; USD 144.000 - 220.000; Tempo pieno

Descrizione del lavoro

SpaceXAI, based in the United States, seeks an engineer to secure high-quality data for model training and evaluation. You will partner with model and engineering teams, design data projects, and drive end-to-end delivery of critical data and eval initiatives to accelerate model development.

The role emphasizes data integrity, multimodal data handling, and building robust annotation tools. Weekend work and travel may be required as part of the responsibilities.

Competenze

• Bachelor's degree in engineering, CS, or STEM field, or 4+ years of equivalent experience.
• Experience collaborating with cross-functional teams (engineering, research, product, or operations).
• Proven ability to analyze datasets to identify trends, anomalies, and data quality issues.

Mansioni

• Partner with model and engineering teams to translate needs into high-value data projects.
• Own end-to-end delivery of data and evaluation projects that drive training signals.
• Build tools to measure data yield and eval lift and perform evaluations to improve quality.
• Maintain data integrity and truthfulness with rigorous validation processes.
• Research and implement data collection, annotation, generation, and multimodal techniques.
• Shape model behavior through targeted data work and domain-specific improvements.
• Design and improve annotation workflows and labeling interfaces for quality.
• Coordinate with Human Data Ops and stakeholders to scale projects and forecast demand.
• Report status, insights, and blockers to enable rapid decision-making.

Conoscenze

Python

SQL

Data analysis

Cross-functional collaboration

Data quality

Evaluation methods

Formazione

Bachelor's degree in engineering/computer science or related STEM discipline

Master's degree in a relevant technical field

Strumenti

Annotation tools

Data workflows

Descrizione del lavoro

SpaceXAI, based in the United States, seeks an engineer to secure high-quality data for model training and evaluation. You will partner with model and engineering teams, design data projects, and drive end-to-end delivery of critical data and eval initiatives to accelerate model development.

The role emphasizes data integrity, multimodal data handling, and building robust annotation tools. Weekend work and travel may be required as part of the responsibilities.