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- Tasks: Help AI learn to solve complex problems in Computer Science & Engineering.
- Company: Outlier connects over 100,000 experts to enhance AI models with human feedback.
- Benefits: Earn $30-$50 per hour, with opportunities for higher-paying projects and flexible work.
- Why this job: Join a cutting-edge team shaping the future of AI with your expertise.
- Qualifications: Master’s degree or higher in Computer Science & Engineering; research experience preferred.
- Other info: Entry-level contract position with potential for growth and performance-based incentives.
Outlier is the world’s leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities.
We Are Looking For Advanced Computer Science & Engineering Experts To Teach AI How To Interpret And Solve Complex Problems By:
- Evaluate AI-generated content for factual accuracy and relevance in Computer Science & Engineering.
- Develop and answer Computer Science & Engineering-related questions to refine AI understanding.
- Assess and rank AI responses based on scientific rigor.
Required Expertise And Qualifications
- Education: Master’s degree or higher (PhD preferred) in Computer Science & Engineering or a related field (can be currently enrolled).
- Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions.
- English Proficiency: Ability to read and write with minimal errors.
- Bonus Skills: AI model training experience is not required but helpful.
Payment
Currently, pay rates for core project work by Computer Science & Engineering experts range from $30 to $50 per hour USD but varies based on your geographic location. Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.
Seniority level: Entry level
Employment type: Contract
Job function: Quality Assurance, Information Technology, and Engineering
Industries: Technology, Information and Internet
Advanced Computer Science & Engineering Expertise Sought for AI Training [Vision] employer: Outlier
Contact Detail:
Outlier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Advanced Computer Science & Engineering Expertise Sought for AI Training [Vision]
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and Computer Science. Being well-versed in current trends and technologies will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field, especially those who have experience with AI training or have worked at Outlier. Attend relevant conferences or webinars to make connections that could lead to referrals.
✨Tip Number 3
Prepare to discuss your research experience in detail. Be ready to explain your contributions to peer-reviewed publications or any patents you've been involved with, as this will demonstrate your expertise and commitment to the field.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of complex problems you've tackled in your previous work. This will illustrate your ability to evaluate AI-generated content and assess its accuracy effectively.
We think you need these skills to ace Advanced Computer Science & Engineering Expertise Sought for AI Training [Vision]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced qualifications in Computer Science & Engineering. Emphasise any relevant research experience, publications, or projects that align with the role's requirements.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the position at Outlier. Discuss your expertise in AI and how it relates to the job, showcasing your ability to evaluate AI-generated content.
Highlight Relevant Experience: In your application, focus on any experience you have with AI model training or evaluating AI responses. Even if it's not required, mentioning this can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application for any grammatical errors or typos. A polished application reflects your attention to detail, which is crucial in the field of Computer Science & Engineering.
How to prepare for a job interview at Outlier
✨Showcase Your Expertise
Make sure to highlight your advanced knowledge in Computer Science and Engineering. Be prepared to discuss your research experience, publications, and any relevant projects that demonstrate your ability to evaluate AI-generated content.
✨Prepare for Technical Questions
Expect technical questions related to AI training and problem-solving in Computer Science. Brush up on key concepts and be ready to explain how you would assess and rank AI responses based on scientific rigor.
✨Demonstrate Communication Skills
Since the role involves providing expert feedback, it's crucial to communicate your thoughts clearly. Practice explaining complex ideas in a simple manner, as this will show your ability to teach AI effectively.
✨Research Outlier's Partnerships
Familiarise yourself with Outlier's collaborations with companies like OpenAI, Meta, and Microsoft. Understanding their goals and how your expertise can contribute will help you align your answers with the company's mission during the interview.
