Innodata Inc.
Applied Research Scientist, LLM Evaluation & Post-Training
Remote - United States
Sponsorship not specified$175k-$225kDetected 1 day ago
PythonMachine LearningTensorFlowPyTorchData EngineeringLLMsStatisticsA/B TestingLoad TestingResearchExperimental DesignLeadershipCommunication
About the role
- Innodata is expanding its GenAI research capability to advance state-of-the-art evaluation and post-training methods for LLM and multimodal systems.
- This role is ideal for a technically rigorous researcher who is deeply fluent in modern LLM evaluation and post-training, and who can turn research insight into practical methods for customer solutions and internal platform innovation.
- The ideal candidate combines strong experimental and statistical judgment with hands-on technical ability and can engage as a peer with research and engineering stakeholders at leading AI companies.
Responsibilities
- Design rigorous experiments to study how evaluation methodologies impact fine-tuning and post-training outcomes
- Develop and validate evaluation frameworks for
- benchmark/task design
- Lead research on advanced evaluation domains, including long-context, cross-modal, and dynamic multi-turn evaluations
- Collaborate with AI/ML Research Engineers to translate research methods into scalable evaluation and post-training pipelines
- Collaborate with Language Data Scientists to integrate human-in-the-loop and synthetic data/evaluation strategies into research programs
Compensation
- The expected salary range for this position is $175,000 – $225,000 USD per year, based on experience, skills, and qualifications.
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