Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape the future of AI by training advanced language models with your data science expertise.
- Company: Join Invisible Expert Marketplace, a leader in AI-powered solutions and innovative technology.
- Benefits: Enjoy remote work flexibility and competitive pay ranging from $8 to $65 per hour.
- Why this job: Make a real impact on AI development while working in a dynamic, tech-driven environment.
- Qualifications: A master’s or PhD in data science or related fields is preferred; clear communication is key.
- Other info: This is a contract role; secure computer and high-speed internet required.
Are you a data science expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high-quality training data, tomorrow’s AI can democratize world-class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.
We’re looking for data science specialists who live and breathe:
- Machine learning
- Statistical modeling
- Data engineering
- Data visualization
- Natural language processing
- Time series analysis
- Deep learning
- Algorithm development
You’ll challenge advanced language models on topics like:
- Supervised learning
- Unsupervised clustering
- Regression techniques
- Model evaluation metrics
- Feature engineering
- Anomaly detection
- Real-world data pipelines
On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer-reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential.
Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.
Employment type: Contract
Workplace type: Remote
Seniority level: Mid-Senior Level
Job function: Consulting, Training, and Information Technology
Industries: Software Development
Contact Detail:
Invisible Expert Marketplace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Specialist – AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning. Being well-versed in current trends and technologies will not only boost your confidence but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Engage with the data science community through forums, webinars, and social media. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals or recommendations for the role.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving machine learning and data visualisation. Be ready to explain your thought process, challenges faced, and how you overcame them, as this showcases your problem-solving skills.
✨Tip Number 4
Practice articulating complex data science concepts in simple terms. Clear communication is key, so being able to explain your work effectively will set you apart from other candidates and show that you can teach others as well.
We think you need these skills to ace Data Science Specialist – AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in data science, machine learning, and any relevant projects. Use keywords from the job description to demonstrate that you meet the specific requirements for the Data Science Specialist – AI Trainer role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Discuss your experience with large-scale language models and how you can contribute to the training of AI systems. Be sure to mention any peer-reviewed publications or significant projects.
Showcase Your Communication Skills: Since clear communication is essential for this role, provide examples in your application that demonstrate your ability to explain complex concepts. Consider including a brief section on how you've effectively communicated technical information in past roles.
Highlight Relevant Experience: Detail your experience with statistical modelling, data visualisation, and algorithm development. Include specific examples of how you've applied these skills in real-world scenarios, especially if they relate to training AI or working with data pipelines.
How to prepare for a job interview at Invisible Expert Marketplace
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, statistical modelling, and data engineering. Bring examples of projects you've worked on that demonstrate your expertise in these areas, as well as any relevant publications or contributions to open-source projects.
✨Communicate Clearly and Effectively
Since clear communication is essential for this role, practice explaining complex concepts in a straightforward manner. Use the 'show your work' approach to illustrate your thought process during problem-solving scenarios.
✨Prepare for Theoretical Questions
Expect to be challenged on advanced topics like supervised learning and model evaluation metrics. Brush up on these concepts and be ready to discuss how you would apply them in real-world situations.
✨Demonstrate Your Problem-Solving Approach
During the interview, be prepared to walk through your methodology for tackling data science problems. Discuss how you document failures and suggest improvements, as this aligns with the role's focus on enhancing AI models.
