LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language.
- Pay
- Firm hourly pay: $100-$120 per hour
- Location
- Remote
- Eligibility
- Remote, applicant location not specified
- Qualification difficulty
- Selective
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- Mercor
- Fit category
- General professional
- Listing/source checked
- Sep 26, 2026
- Inventory presence checked
- Sep 28, 2026
- Apply link checked
- Aug 22, 2026
Application
Continue to the current Mercor listing
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What this role involves
We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- Professionals whose experience matches the current LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness) requirements.
- Applicants comfortable completing Mercor's role-specific assessment.
Check before applying
Reasons to pause
- You cannot meet the listing's stated remote or location eligibility.
- You need guaranteed acceptance, hours, or project duration.
Still to verify
- Review the official Mercor listing before applying. Requirements, screening, pay, hours, and project availability can change.
- The reviewed listing had limited public detail; check the current platform page for the full requirements.
- Applicant eligibility still needs checking: Remote, applicant location not specified.
What to prepare
Role tools
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Application tips
- Complete Mercor's role-specific application or assessment carefully.
- Review the current Mercor listing and its eligibility details before applying.