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- Tasks: Train AI models by evaluating their logic and solving complex math problems.
- Company: Join a dynamic team focused on advancing AI technology.
- Benefits: Enjoy remote work, flexible scheduling, and competitive pay starting at $40+ per hour.
- Why this job: Make an impact in AI while working on projects that excite you.
- Qualifications: Fluency in English and strong math skills are essential; advanced degrees preferred but not required.
- Other info: Payment is via PayPal; no fees or upfront costs.
We are looking for a data scientist 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.
Are you the right candidate for this opportunity Make sure to read the full description below.
In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Data Science, 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 data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/ deductive reasoning
* A current, in progress, or completed 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.
#INDUKMA
Job Types: Full-time, Part-time
Pay: From £30.36 per hour
Expected hours: 1 – 40 per week
Work Location: Remote
Data Scientist - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI Trainer
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and machine learning. Being up-to-date with current trends and technologies will not only help you in the interview but also show your passion for the field.
✨Tip Number 2
Prepare to discuss specific mathematical concepts and how they apply to AI training. Be ready to explain your thought process when solving complex problems, as this will demonstrate your expertise and analytical skills.
✨Tip Number 3
Engage with online communities or forums related to data science and AI. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for job opportunities.
✨Tip Number 4
Showcase any relevant projects or research you've worked on, especially those involving AI models or data analysis. Having concrete examples to discuss can set you apart from other candidates.
We think you need these skills to ace Data Scientist - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize any experience you have in data science, AI training, or related fields. Include specific projects or roles where you've applied mathematical reasoning or evaluated AI models.
Showcase Your Skills: Clearly outline your proficiency in key areas such as arithmetic, algebra, geometry, calculus, probability, and statistics. Use examples to demonstrate your expertise and how it relates to the role.
Tailor Your CV: Customize your CV to reflect the qualifications mentioned in the job description. Highlight your educational background, especially if you have a Masters or PhD, and any relevant coursework or research.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're interested in the position and how your skills align with the responsibilities. Mention your detail-oriented nature and ability to work independently on projects.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Since the role requires expert-level mathematical reasoning, be prepared to discuss your experience with various mathematical concepts. Highlight any relevant coursework or projects that demonstrate your proficiency in areas like calculus, statistics, and algebra.
✨Demonstrate Problem-Solving Skills
Expect to encounter questions that assess your problem-solving abilities. Prepare examples of how you've tackled complex problems in the past, especially those related to AI or data science, and explain your thought process clearly.
✨Familiarize Yourself with AI Models
Research common AI models and their evaluation metrics. Be ready to discuss how you would approach training and evaluating AI chatbots, including the types of mathematics problems you would use to test their capabilities.
✨Prepare for Behavioral Questions
In addition to technical skills, companies often assess cultural fit through behavioral questions. Think about scenarios where you've worked in a team, handled feedback, or adapted to changes, and be ready to share these experiences.
