<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> Human Baseliner for Open-Ended ML Research Tasks<br/><br/><strong>Type:</strong> <strong>Contract<br/><br/></strong><strong>Compensation:</strong> <strong>$75–$90/hour<br/><br/></strong><strong>Location:</strong> <strong>Remote<br/><br/></strong><strong>Commitment:</strong> <strong>20+ hours/week<br/><br/></strong><strong>Role Responsibilities<br/><br/></strong><ul><li>Attempt open-ended machine learning research tasks under a fixed time and compute budget.</li><li>Work independently in a sandboxed Linux environment with internet access.</li><li>Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT.</li><li>Record full working sessions via screen recording.</li><li>Complete pre-task and post-task questionnaires.</li><li>Submit final work product, screen recording, and completed questionnaires for evaluation.<br/><br/></li></ul><strong>Qualifications<br/><br/></strong><strong>Must-Have<br/><br/></strong><ul><li>3+ years of machine learning experience. Time in a PhD program counts.</li><li>Attended a top-100 university or worked at FAANG or a comparable company.</li><li>Experience with PyTorch, JAX, or TensorFlow.</li><li>Deep expertise in at least one focus area: pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual experience, or data pipelines.<br/><br/></li></ul><strong>Required Domain Expertise<br/><br/></strong><ul><li>Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture.<br/><br/></li></ul><strong>Logistics<br/><br/></strong><ul><li>One baseline attempt per contractor per task.</li><li>Each task may only be attempted once.</li><li>All work is confidential and covered by NDA.</li><li>Compute and environment are provided; no personal GPU required.<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>