Unlock apply linkApply links and the original listing are a Pro feature — £4.99/mo or £25 once.
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.*
,