Remote AI/ML LLM Training & Evaluation Engineer

Innodata Inc.; United States; On-site; USD 80,000 - 175,000; Full time

Job summary

Innodata Inc. is seeking an AI/ML Research Engineer, LLM Training & Evaluation, to design and optimize pipelines powering model improvements for customers.

This remote role within the United States entails hands-on fine-tuning, evaluation, and integrating human-in-the-loop signals with scalable infrastructure. You'll collaborate with data scientists, engineers, and client stakeholders to deliver robust ML solutions, benchmarks, and platform enhancements, with emphasis on reliability and

Qualifications

• BS/MS/PhD in CS or related quantitative field.
• 2-3 years of ML/AI engineering experience.
• Hands-on with LLM training, fine-tuning, and evaluation.

Responsibilities

• Design and implement LLM post-training pipelines.
• Develop evaluation harnesses and experiment tracking.
• Collaborate with data scientists and engineers to deliver customer-ready solutions.

Skills

Python

ML/AI systems

LLM training

Fine-tuning

Communication skills

Education

BS/MS/PhD in Computer Science or related

Tools

PyTorch

TensorFlow

Hugging Face

vLLM

Distributed Training

Job description

Innodata Inc. is seeking an AI/ML Research Engineer, LLM Training & Evaluation, to design and optimize pipelines powering model improvements for customers.

This remote role within the United States entails hands-on fine-tuning, evaluation, and integrating human-in-the-loop signals with scalable infrastructure. You'll collaborate with data scientists, engineers, and client stakeholders to deliver robust ML solutions, benchmarks, and platform enhancements, with emphasis on reliability and