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: LLM Research Scientist (Pre-training & Post-Training)

Type: Contract

Compensation: $100–$120/hour

Location: Remote

Role Responsibilities

Train transformer-based language models from scratch and fine-tune open-weight models. Optimize performance in data- and compute-constrained environments. Construct training corpora from raw web-scale sources. Build and manage post-training pipelines. Diagnose and resolve training issues to enhance model performance. Work independently and asynchronously to meet project goals.

Qualifications

Must-Have

3+ years of machine learning research experience. Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record.

Preferred

Experience with scaling laws, curriculum learning, and LLM evaluation. Knowledge of reinforcement learning for language models. Expertise in model alignment and AI safety.

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: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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