AI Researcher - Fully Remote | Upto $120/hr

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 & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote
Role Responsibilities

- Train image classifiers and generative image models from scratch. Fine-tune open-weight language models .

- Optimize models for limited data, compute, and model-size budgets.

- Enhance model robustness against adversarial inputs and conversations.

- Compress models to meet size and latency constraints without losing accuracy.

- Diagnose and resolve training issues to improve model performance.

Qualifications

Must-Have

- 3+ years of machine learning research experience ( PhD research counts).

- 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 through publications or impactful open-source contributions.

Preferred

- Experience with Adversarial Robustness and Efficient Computer Vision .

- Knowledge in Generative Image Modeling and LLM Post-Training & Behavioral Robustness .

- Experience in Multilingual Pre-training and additional areas like scaling laws and curriculum learning .

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