Python for AI Data Training @ SME Careers
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About SME Careers - Python for AI Data Training
Are you passionate about programming, debugging, and analyzing real-world code? At SME Careers, we connect subject-matter experts with flexible, remote opportunities in AI development and training. Join us on a groundbreaking AI-driven project where your coding expertise directly shapes how AI systems understand and generate code.
About the Role
We are looking for programming professionals to join our AI training project through Reinforcement Learning from Human Feedback (RLHF). In this role, you'll review and assess AI-generated code, evaluate technical accuracy and best practices, and provide expert feedback to train AI systems. You will work with multiple programming languages and solve coding challenges to ensure outputs meet industry standards.
Your Profile
- BS, MS, or PhD in Computer Science is required.
- Expert in Python with deep algorithm, data structure, and debugging skills.
- Excellent English proficiency with strong writing and fact-checking capabilities.
- Prior experience with large language models and RLHF annotation is preferred.
- Software Engineering experience is strongly preferred, with additional languages as a bonus.
Application & Onboarding Process
Apply via SME Careers. A qualification exam (1–2 hours) and a project exam (1–2 hours) will assess your role-specific expertise and adherence to project guidelines. Compensation is provided upon passing each exam.
Why Work with SME Careers?
- Your work directly contributes to training AI and shaping its communication.
- Fully remote and flexible work schedule with independently-managed time.
- Weekly payments ensure consistency and reliability in compensation.
- Community rewards with ongoing passive income for referrals.
Key skills/competency
- Python
- RLHF
- AI Training
- Debugging
- Code Review
- Programming
- Algorithms
- Data Structures
- LLMs
- Remote Work
How to Get Hired at SME Careers
🎯 Tips for Getting Hired
- Research SME Careers' culture: Explore their mission and success stories.
- Customize your resume: Highlight Python and AI training skills.
- Prepare for exams: Practice coding and RLHF scenarios.
- Review job specifics: Emphasize remote work and flexibility.