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 with limited data, compute, and model-size budgets.
- Enhance model robustness to adversarial inputs and conversations.
- Compress models to meet size and latency constraints without losing accuracy.
- Diagnose and resolve training issues effectively.
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 equivalent research track record through publications or impactful open-source contributions.
Preferred
- Experience in scaling laws and training-efficiency research .
- Knowledge of curriculum learning and data ordering.
- Skills in model evaluation , uncertainty estimation , and model calibration .
- Expertise in data augmentation and synthetic data for robustness.
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
Ai Researcher - Fully Remote | Upto $120/Hr in England employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
