At a Glance
- Tasks: Review and verify AI-generated graphical abstracts for scientific accuracy.
- Company: Join Prolific, a leader in the AI data space with a mission to enhance research integrity.
- Benefits: Earn $40+/hr, flexible hours, and contribute to groundbreaking AI projects.
- Other info: Work remotely and influence the next generation of AI technology.
- Why this job: Shape the future of AI by ensuring it understands complex computer science research.
- Qualifications: Master’s or PhD in Computer Science and expertise in STEM fields required.
The predicted salary is between 40 - 46 € per hour.
Screener Criteria: LinkedIn profile verification required for eligibility
Start Date: TBC
End Date: TBC
Location: Remote (UK/US/CA/AUS)
Type of contract: freelance
Hourly Rate: $40+/hr
Minimum Hours: TBC from Services
Maximum Hours: Subject to availability
Screening compensation: $46/hr (for eligibility test/screener)
About Prolific: Prolific is not just another player in the AI space. We are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
The role: We are seeking Computer Science Domain Experts to act as evaluators for a high-level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy. We need experts who can navigate dense scientific literature to judge the accuracy and structural integrity of AI-generated graphical abstracts. This is a flexible, ad hoc project where your technical expertise directly influences how AI understands and summarizes complex computer science research.
What you’ll be doing:
- Scientific Review: review computer science scientific papers alongside LLM-generated graphical abstracts.
- Fact-Checking: identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.
- Expert Verification: use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
- Quality Control: help refine the model's ability to produce "enterprise-ready" scientific summaries.
What you’ll bring:
- Advanced Academic Credentials: hold a Master’s or PhD in Computer Science.
- Domain Expertise: specialized knowledge in STEM/Computer Science fields.
- Analytical Skills: history with fact-checking tasks and a high level of basic cognitive competency.
- Verification: a valid LinkedIn profile is required to verify your credentials during the screening process.
- Previous experience with AI-related training or evaluation tasks.
- Background in scientific publishing or peer review.
Why join this project? This is a unique opportunity to act as an expert in the AI-driven scientific revolution. You’ll be teaching the model how to accurately synthesize complex data, providing the technical rigor that algorithms currently lack.
AI Trainer – Computer Science Expert - Graphical Abstract (Fully Remote) in Leeds employer: Prolific
Prolific is an exceptional employer that champions innovation and flexibility, offering a unique opportunity for Computer Science experts to contribute to the AI-driven scientific revolution from the comfort of their own homes. With competitive hourly rates and a commitment to quality, Prolific fosters a collaborative work culture where your expertise directly impacts the accuracy of AI-generated content, while also providing avenues for professional growth in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Trainer – Computer Science Expert - Graphical Abstract (Fully Remote) in Leeds
✨Tip Number 1
Make sure your LinkedIn profile is up to date and reflects your expertise in computer science. This is crucial for verification, so let’s show off those advanced academic credentials and any relevant experience you have!
✨Tip Number 2
Network like a pro! Reach out to connections in the AI and computer science fields. Engaging with others can lead to opportunities and insights that might not be advertised. Plus, it’s a great way to get your name out there.
✨Tip Number 3
Prepare for interviews by brushing up on your fact-checking skills and understanding of AI models. We want to see you confidently discuss how you can ensure scientific integrity in AI-generated content.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace AI Trainer – Computer Science Expert - Graphical Abstract (Fully Remote) in Leeds
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your advanced academic credentials and any relevant experience in your application. We want to see how your background in Computer Science makes you the perfect fit for this role!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the job description. This shows us you’re genuinely interested in the position.
LinkedIn Profile Matters:Since we require LinkedIn profile verification, ensure your profile is up-to-date and accurately reflects your qualifications. A strong LinkedIn presence can really boost your application!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us keep track of all applicants efficiently!
How to prepare for a job interview at Prolific
✨Know Your Stuff
Make sure you brush up on your computer science knowledge, especially the latest trends and research. Familiarise yourself with common AI models and their applications in scientific literature, as you'll need to demonstrate your expertise during the interview.
✨Showcase Your Experience
Prepare to discuss your previous roles, particularly any experience with AI training or evaluation. Be ready to share specific examples of how you've fact-checked or reviewed scientific papers, as this will highlight your analytical skills and domain expertise.
✨LinkedIn Profile Ready
Since a verified LinkedIn profile is a requirement, ensure yours is up-to-date and reflects your academic credentials and relevant experience. This will not only help with the screening process but also give the interviewers a clear picture of your background.
✨Ask Insightful Questions
Prepare some thoughtful questions about the project and the role. This shows your genuine interest and helps you understand how your expertise can contribute to the team. Plus, it’s a great way to engage with the interviewers and leave a lasting impression.
