<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About The Job<br/><br/></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br/><br/><strong>Position:</strong> LLM Research Scientist (Pre-training &amp; Post-Training)<br/><br/><strong>Type:</strong> <strong>Contract<br/><br/></strong><strong>Compensation:</strong> <strong>$100–$120/hour<br/><br/></strong><strong>Location:</strong> <strong>Remote<br/><br/></strong><strong>Role Responsibilities<br/><br/></strong><ul><li>Train transformer-based language models from scratch and fine-tune open-weight models.</li><li>Optimize performance in data- and compute-constrained environments.</li><li>Construct training corpora from raw web-scale sources.</li><li>Build and manage post-training pipelines.</li><li>Diagnose and resolve training issues to enhance model performance.</li><li>Work independently and asynchronously to meet project goals.<br/><br/></li></ul><strong>Qualifications<br/><br/></strong><strong>Must-Have<br/><br/></strong><ul><li>3+ years of machine learning research experience.</li><li>Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.</li><li>Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record.<br/><br/></li></ul><strong>Preferred<br/><br/></strong><ul><li>Experience with scaling laws, curriculum learning, and LLM evaluation.</li><li>Knowledge of reinforcement learning for language models.</li><li>Expertise in model alignment and AI safety.<br/><br/></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br/><br/></strong><ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form<br/><br/></li></ul><strong>Resources &amp; Support<br/><br/></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com<br/><br/></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br/><br/></em>,<br/><br/> </div>