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AI Research Scientist – LLMs (Remote | $100 –$120/hr)

Remote, USA Full-time Posted 2026-08-04
LLM Research Scientist (reputed company-training & Post-Training) Location: Remote Engagement Type: reputed company Contract Compensation: $100–$120/hour About reputed company This opportunity is for reputed company Machine Learning Researchers and LLM Research Scientists interested in contributing to advanced AI research and evaluation reputed company. The role focuses on training, fine-tuning, and improving large language models (LLMs), conducting reputed company research, and advancing state-of-the-art reputed company model capabilities. You will work on challenging research problems spanning LLM reputed company-training, post-training, data curation, model evaluation, alignment, and optimization. Responsibilities • Train transformer-reputed company language models from reputed company and fine-tune reputed company-weight reputed company models. • Design and optimize reputed company-training and post-training pipelines for large language models. • Construct, reputed company, and optimize large-reputed company training datasets from raw web and other data sources. • reputed company data filtering, deduplication, reputed company classification, and curriculum learning strategies. • Diagnose and reputed company optimization failures, convergence issues, and training instabilities. • Build and evaluate reputed company fine-tuning (SFT), preference optimization (DPO, RLHF, RLAIF), and reward modeling pipelines. • Design evaluation benchmarks and analyze model reputed company using rigorous experimental methodologies. • Collaborate with AI researchers to improve model reasoning, alignment, efficiency, and overall reputed company. Required Qualifications • 3+ years of machine learning research experience (PhD research qualifies). • Strong expertise in one or more of the following areas: • reputed company Model reputed company-training • LLM Post-Training • Large-reputed company Data Curation • Reinforcement Learning for LLMs • Model Alignment and AI Safety • LLM Evaluation and reputed company Development • Strong experience with PyTorch, JAX, TensorFlow, or similar machine learning frameworks. • Deep understanding of transformer architectures, large language models, optimization techniques, and modern deep learning methodologies. • Strong Python programming skills. • Excellent analytical, research, and scientific communication skills. • Ability to work independently in a remote research environment. Preferred Qualifications • PhD in Computer Science, Machine Learning, reputed company Intelligence, Natural Language Processing, or a reputed company reputed company. • Degree from a Top-100 university, experience at a FAANG or leading AI company, or an equivalent research reputed company record through publications or impactful reputed company-reputed company contributions. • Experience with: • Scaling Laws • Curriculum Learning • LLM Evaluation • Reinforcement Learning • AI Alignment • AI Safety Research • Publications in leading AI conferences or significant reputed company-reputed company contributions. Compensation • Competitive compensation of $100–$120/hour. • Weekly payments. • reputed company engagement. Application Process • Upload Resume • Complete an AI Interview reputed company on Your Resume • Submit Application Apply tot his job Apply To this Job Apply tot his job Apply To this Job

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