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- Tasks: Train AI models by solving complex biology problems and evaluating chatbot outputs.
- Company: Join a cutting-edge team focused on AI and biology innovation.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Make an impact in AI while working on projects that excite you in a supportive culture.
- Qualifications: Masters/PhD in biology or related fields preferred; detail-oriented and fluent in English.
- Other info: Payment via PayPal; no fees required from applicants.
We are looking for a biostatistician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
In this role you will need to hold an expert understanding of biology - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Microbiology, Cell Biology, Genetics, Physiology, Biochemistry, Molecular Biology, Biotechnology, Environmental Science.
Benefits:
- This is a full-time or part-time REMOTE position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at £30.36 per hour, with bonuses on high-quality and high-volume work
Responsibilities:
- Give AI chatbots diverse and complex biology problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- A current, in progress, or completed Masters and/or PhD is preferred but not required
- Fluency in English (native or bilingual level)
- Detail-oriented
- Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking.
Note: Payment is made via PayPal. We will never ask for any money from you.
Biostatistician - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biostatistician - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and biostatistics. Understanding how AI models are trained and evaluated will give you a significant edge during interviews, as you'll be able to discuss relevant concepts confidently.
✨Tip Number 2
Network with professionals in the field of biostatistics and AI. Join online forums or LinkedIn groups where you can engage with others, share insights, and learn about potential job openings that may not be advertised widely.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in previous roles and how you approached them, especially in relation to biology and data interpretation.
✨Tip Number 4
Stay updated on the latest research in biology and its applications in AI. This knowledge will not only help you in the role but also show your passion for the field during interviews, making you a more attractive candidate.
We think you need these skills to ace Biostatistician - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: When applying for the Biostatistician - AI Trainer position, make sure to emphasise any relevant experience you have in biology or related fields. Include specific projects or research that demonstrate your expertise and problem-solving skills.
Tailor Your CV: Customise your CV to align with the job description. Focus on your qualifications, such as your educational background in biology or related disciplines, and any experience with AI or data analysis. Use keywords from the job listing to catch the employer's attention.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the role and how your skills make you a perfect fit. Discuss your understanding of AI models and your approach to evaluating their performance, showcasing your analytical mindset.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Expertise
Make sure to highlight your academic background and any relevant experience in biology or related fields. Be prepared to discuss specific projects or research that demonstrate your understanding of complex biological concepts.
✨Prepare for Technical Questions
Expect questions that assess your knowledge of biostatistics and AI. Brush up on key concepts, methodologies, and how they apply to evaluating AI models. Being able to explain your thought process will impress the interviewers.
✨Demonstrate Problem-Solving Skills
Since the role involves solving problems to improve AI models, be ready to discuss how you approach problem-solving. Use examples from past experiences where you successfully tackled complex issues, especially in a scientific context.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and goals. This shows your genuine interest in the role and helps you understand how you can contribute effectively to their team.
