Senior Machine Learning Engineer - AI-Assisted Data Annotation
Core
Design and build AI-assisted annotation pipelines using large models and vision-language models to generate high-quality training data at scale for downstream model training.
Role type
Senior Machine Learning Engineer (Data Annotation)
Builds
Production AI-assisted annotation pipelines and evaluation frameworks
Domain
AI/ML, Document AI, Data Engineering
Deliverable
production ML models
Required skills
Large language model (LLM) development, Vision-language models, Prompt engineering, Few-shot learning, Fine-tuning, System architecture, Label verification, Quality validation, Evaluation framework design, Human-in-the-loop workflow design
Preferred skills
Production monitoring, Experimental environment adaptability
Technologies
LLMs, Vision-language models
Responsibilities
Design and implement AI-powered annotation pipelines using large models to generate ground truth labels at scale; Develop and refine prompting strategies, few-shot examples, and fine-tuning approaches to improve accuracy and consistency; Build systems for label verification, confidence scoring, and quality validation; Evaluate which tasks are suitable for automated annotation vs. human review and define decision criteria; Create evaluation frameworks to benchmark automated annotations against human-labeled data; Continuously improve annotation quality using feedback from human review workflows; Own the automated annotation track end-to-end, from architecture through production monitoring.
Seniority
Senior, hands-on IC