M
AI Summary
Mercor is seeking a Human Baseliner to work on open-ended machine learning research tasks. The role involves attempting tasks under a fixed time and compute budget, working independently, and submitting final work products for evaluation. The ideal candidate has 3+ years of machine learning experience and expertise in areas like pretraining, PPO, and fine-tuning.
Key Highlights
Human Baseliner role
Open-ended machine learning research tasks
Fixed time and compute budget
Key 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
Technical Skills Required
Benefits & Perks
$75-$90/hour
Remote work
20+ hours/week
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.
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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.
- Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture.
- 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.
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- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
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