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- 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 proficiency in data science and mathematics are key.
- Other info: Payment is via PayPal; only available to applicants in select countries.
We are looking for a data analyst 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 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 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.
Job Types: Full-time, Part-time
Pay: From £31.67 per hour
Expected hours: 1 – 40 per week
Work Location: Remote
Data Analyst - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - AI Trainer
✨Tip Number 1
Familiarize yourself with the latest AI models and their evaluation metrics. Understanding how to measure the performance of AI chatbots will give you an edge in the interview process.
✨Tip Number 2
Brush up on your mathematical reasoning skills, especially in areas like calculus and statistics. Being able to demonstrate your problem-solving abilities with complex math problems will be crucial for this role.
✨Tip Number 3
Engage with online communities or forums related to data science and AI. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your previous experience with data analysis and any relevant projects you've worked on. Highlighting your hands-on experience will help you stand out as a candidate.
We think you need these skills to ace Data Analyst - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize any experience you have in data analysis, AI training, or related fields. Mention specific projects or roles where you've applied mathematical reasoning or evaluated AI models.
Showcase Your Skills: Clearly outline your proficiency in data science and mathematics. Include specific areas such as arithmetic, algebra, calculus, and statistics. This will demonstrate your capability to handle the responsibilities of the role.
Tailor Your CV: Customize your CV to align with the job description. Use keywords from the listing, such as 'detail-oriented' and 'fluency in English', to ensure your application stands out to recruiters.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're interested in the position and how your background makes you a great fit. Be sure to mention your flexibility with project selection and working hours, as this is a key benefit of the role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Mathematical Expertise
Be prepared to discuss your mathematical reasoning skills in detail. Highlight any relevant coursework or projects, especially those related to data science, applied math, or computer science. This will demonstrate your capability to handle the complex problems you'll encounter in this role.
✨Demonstrate Problem-Solving Skills
During the interview, be ready to tackle sample problems or case studies that reflect the challenges of evaluating AI models. This will showcase your analytical thinking and ability to improve model quality through effective problem-solving.
✨Familiarize Yourself with AI and Data Evaluation
Research common metrics and methods used to evaluate AI performance. Being knowledgeable about how to assess chatbot outputs will give you an edge and show your genuine interest in the role.
✨Communicate Clearly and Confidently
Since fluency in English is crucial, practice articulating your thoughts clearly. Use examples from your past experiences to illustrate your points, and don't hesitate to ask clarifying questions if needed. This will help establish a strong rapport with the interviewers.
