At a Glance
- Tasks: Train AI models by evaluating their logic and solving complex math problems.
- Company: Join a dynamic team focused on enhancing AI chatbot performance.
- Benefits: Enjoy remote work, flexible scheduling, and competitive pay starting at $40+ per hour.
- Why this job: Make an impact in AI development while working on projects that interest you.
- Qualifications: Fluency in English and strong statistical skills are essential; advanced degrees preferred but not required.
- Other info: Payment is via PayPal; only available to applicants in select countries.
We are looking for a *statistician* 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.
A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.
In this role you will need to hold an expert level of statistical/mathematical reasoning- a completed or in-progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Applied Math and/or Computer 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 $40+ USD per hour, with bonuses on high-quality and high-volume work
Responsibilities:
* Give AI chatbots diverse and complex mathematics problems and evaluate their outputs
* Evaluate the quality produced by AI models for correctness and performance
Qualifications:
* Fluency in English (native or bilingual level)
* Detail-oriented
* Proficient in statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/ deductive reasoning
* A completed or in-progress Masters and/or PhD is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
#INDUKMA
Job Types: Full-time, Part-time
Pay: From £29.98 per hour
Expected hours: 1 – 40 per week
Work Location: On the road
Statistician - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician - AI Trainer
✨Tip Number 1
Make sure to showcase your statistical skills in any conversations or interviews. Be prepared to discuss specific projects where you've applied statistical reasoning, as this will demonstrate your expertise and problem-solving abilities.
✨Tip Number 2
Familiarize yourself with AI models and their evaluation metrics. Understanding how to assess the performance of AI chatbots will give you an edge and show that you're proactive about the role's requirements.
✨Tip Number 3
Network with professionals in the field of AI and statistics. Engaging with communities on platforms like LinkedIn can help you learn more about the industry and potentially connect with someone at StudySmarter.
✨Tip Number 4
Stay updated on the latest trends in AI and statistics. Being knowledgeable about current developments will not only prepare you for discussions but also show your passion for the field during the application process.
We think you need these skills to ace Statistician - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize any experience you have with statistical analysis, AI training, or related fields. Mention specific projects or roles where you applied your mathematical reasoning skills.
Showcase Your Skills: Clearly outline your proficiency in statistics, arithmetic, algebra, geometry, calculus, and probability. Use examples to demonstrate how you've used these skills in practical situations.
Tailor Your Application: Customize your CV and cover letter to reflect the responsibilities and qualifications mentioned in the job description. Use keywords from the listing to make your application stand out.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any grammatical or spelling errors. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Statistical Expertise
Be prepared to discuss your knowledge in statistics and mathematics. Highlight any relevant coursework or projects, especially those related to AI or machine learning, to demonstrate your expertise.
✨Prepare for Problem-Solving Scenarios
Expect to tackle complex mathematical problems during the interview. Practice explaining your thought process clearly, as this will showcase your analytical skills and ability to evaluate AI outputs effectively.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be ready to provide examples of how you've ensured accuracy in your previous work. Discuss any experiences where your attention to detail made a significant impact on a project.
✨Familiarize Yourself with AI Concepts
Brush up on basic AI concepts and how statistical methods apply to training AI models. Being able to discuss these topics will show your enthusiasm for the role and your understanding of the responsibilities involved.