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AI Researcher - Fully Remote | Upto $120/hr

mercor · Work from home
Work from home
PayPay not listed
WhereWork from home
TypeFull timeMid-level
Posted10 Oct10 days ago, via Himalayas
Kaam checked
No fee, deposit or pay-to-apply signs
Good spoken and written English expected
Day work
No vehicle or licence needed
Contract role
Skills they list11 named
AI ResearcherMachine Learning Research ScientistLLM Research ScientistComputer Vision ResearcherAI Research ScientistFreelance AI ResearcherAI Researcher JobsAI Research EngineerAI ML Research EngineerAI ML Research ScientistAI Research Scientist Positions
About this job

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)

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Resources & Support

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