Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Contribute to open-source projects and enhance AI model training.
- Company: Join a leading tech company backed by top investors in San Francisco.
- Benefits: Earn up to $150/hour with flexible remote work options.
- Other info: Immediate start with opportunities for professional growth.
- Why this job: Shape the future of AI while working on impactful open-source projects.
- Qualifications: Strong GitHub contributions and experience managing Pull Requests required.
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 Details
- Type: Contract
- Compensation: $150/hour
- Location: Remote
Role Responsibilities
- Author and manage Pull Requests (PRs) to integrate new code into large, complex open-source codebases.
- Evaluate and enhance AI model training through active contributions to open-source repositories.
- Collaborate with AI research teams to improve training data quality and model outputs.
- Work independently and asynchronously to meet deadlines and deliver impactful code.
- Shape the future of open-source projects by providing structured feedback and innovative solutions.
Qualifications
- Must-Have: Strong ability to author and manage Pull Requests (PRs).
- Must-Have: Demonstrated experience with significant GitHub contributions.
- Preferred: 3+ years as a Software Engineer.
Start Date: Immediately
Application Process
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: Interview Process
For any help or support, reach out to:
Lead Software Engineer | Upto $150/hr in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer | Upto $150/hr in London
✨Tip Number 1
Get your GitHub profile shining! Make sure it showcases your best contributions and projects. We want to see your Pull Requests in action, so keep it updated and engaging.
✨Tip Number 2
Network like a pro! Connect with AI research teams and other engineers on platforms like LinkedIn or GitHub. We can help you find opportunities through our website, so don’t hesitate to reach out!
✨Tip Number 3
Prepare for that AI interview! Brush up on your coding skills and be ready to discuss your past projects. We’re here to support you, so check out our resources for tips and tricks.
✨Tip Number 4
Follow up after applying! A quick message expressing your enthusiasm can make a difference. Remember, we’re all about making connections, so let’s get you noticed!
We think you need these skills to ace Lead Software Engineer | Upto $150/hr in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience with Pull Requests and GitHub contributions. We want to see how you've made an impact in previous roles, so don’t hold back on those details!
Showcase Your Projects: If you've worked on open-source projects, give them a shout-out! We love seeing real examples of your work, especially if they relate to AI or complex codebases. Link to your GitHub or any relevant repositories.
Be Clear and Concise: When filling out the application form, keep your answers straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Let us see your personality shine through!
Apply Through Our Website: Don’t forget to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Mercor
✨Know Your Code Inside Out
Before the interview, make sure you’re familiar with your past projects and contributions on GitHub. Be ready to discuss specific Pull Requests (PRs) you've authored, the challenges you faced, and how you overcame them. This will show your depth of knowledge and experience.
✨Brush Up on AI Concepts
Since the role involves enhancing AI model training, it’s crucial to have a solid understanding of AI concepts. Review the latest trends in AI and be prepared to discuss how you can contribute to improving training data quality and model outputs.
✨Prepare for Asynchronous Collaboration
The job requires working independently and asynchronously. Think about examples from your past work where you successfully managed remote collaboration. Highlight your communication skills and how you keep teams updated on your progress.
✨Showcase Your Problem-Solving Skills
Be ready to provide structured feedback and innovative solutions during the interview. Prepare a few scenarios where you identified a problem in an open-source project and how you approached solving it. This will demonstrate your critical thinking and creativity.