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Job description
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Human Baseliner for Open-Ended ML Research Tasks
Type:Contract
Compensation:$75–$90/hour
Location:Remote
Commitment:20+ hours/week
Role Responsibilities
Attempt open-ended machine learning research tasks under a fixed time and compute budget.
Work independently in a sandboxed Linux environment with internet access.
Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT.
Record full working sessions via screen recording.
Complete pre-task and post-task questionnaires.
Submit final work product, screen recording, and completed questionnaires for evaluation.
Qualifications
Must-Have
3+ years of machine learning experience. Time in a PhD program counts.
Attended a top-100 university or worked at FAANG or a comparable company.
Experience with PyTorch, JAX, or TensorFlow.
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.
Required Domain Expertise
Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture.
Logistics
One baseline attempt per contractor per task.
Each task may only be attempted once.
All work is confidential and covered by NDA.
Compute and environment are provided; no personal GPU required.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.