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](https://himalayas.app)