Analyst
DataAnnotation · South Dakota, United States
- Hybrid
- Full-time
- $40,000 / year
- South Dakota, United States
Job highlights
- Train AI models by solving complex math problems.
- Evaluate AI chatbot logic and performance.
- Improve AI model quality and correctness.
- Work remotely on flexible hours.
- Earn $40+ USD per hour plus bonuses.
About the role
About the Role
We are looking for an 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. Other related fields include, but are not limited to: Applied Mathematics 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 arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/ deductive reasoning
- A current, in progress, or completed Master's or PhD degree is preferred but not required
Key skills/competency
- AI Model Training
- Mathematical Reasoning
- Problem Solving
- Data Evaluation
- Quality Assurance
- Applied Mathematics
- Computer Science
- Probability
- Statistics
- Analytical Skills
Skills & topics
- Analyst
- AI Model Training
- Mathematical Reasoning
- Problem Solving
- Data Evaluation
- Quality Assurance
- Applied Mathematics
- Computer Science
- Probability
- Statistics
- English Fluency
- Remote
- Independent Contract
- Full-time
- Part-time
How to get hired
- Customize your resume: Highlight your mathematical reasoning, problem-solving, and analytical skills. Tailor it to showcase experience with AI, data evaluation, and relevant fields like Applied Mathematics or Computer Science.
- Demonstrate English fluency: Clearly indicate your native or bilingual proficiency in English on your application and resume.
- Showcase detail orientation: Provide examples of your meticulous approach to tasks and problem-solving in your application materials and during interviews.
- Prepare for technical questions: Be ready to discuss your proficiency in various mathematical concepts, including arithmetic, algebra, geometry, calculus, probability, and statistics, as they relate to AI model evaluation.
- Highlight advanced education: If applicable, mention any Master's or PhD degrees (completed, in progress, or relevant coursework) to underscore your advanced analytical capabilities.
Technical preparation
Review calculus, probability, and statistics fundamentals.,Practice solving complex algebra and geometry problems.,Familiarize with inductive and deductive reasoning.,Study AI model evaluation methodologies.
Behavioral questions
Describe a time you solved a complex problem.,How do you ensure attention to detail?,Explain your approach to evaluating performance.,How do you manage your own schedule?
Frequently asked questions
- What is the work arrangement for the AI Model Analyst role at DataAnnotation?
- The AI Model Analyst position at DataAnnotation is a remote position, offering the flexibility to work from anywhere. This role can be taken on as either a full-time or part-time independent contract.
- What are the main responsibilities of an AI Model Analyst at DataAnnotation?
- As an AI Model Analyst at DataAnnotation, your primary responsibilities include evaluating the outputs of AI chatbots by providing them with diverse and complex mathematics problems. You will also assess the overall quality, correctness, and performance of AI models to drive improvements.
- What qualifications are essential for the AI Model Analyst position at DataAnnotation?
- Essential qualifications for the AI Model Analyst role include native or bilingual fluency in English, a keen eye for detail, and strong proficiency in various mathematical disciplines such as arithmetic, algebra, geometry, calculus, probability, and statistics. Expert-level mathematical reasoning is crucial.
- Does DataAnnotation prefer candidates with advanced degrees for the AI Model Analyst role?
- While not strictly required, DataAnnotation prefers candidates who have a current, in-progress, or completed Master's or PhD degree. This is to ensure a strong foundation in mathematical reasoning and related fields like Applied Mathematics or Computer Science.
- How is payment handled for the Analyst position at DataAnnotation?
- Projects for the Analyst position are paid hourly, starting at $40+ USD per hour, with potential bonuses for high-quality and high-volume work. Payments are processed via PayPal, which also manages any necessary currency conversions from USD.
- Are there any location restrictions for the AI Model Analyst job at DataAnnotation?
- Yes, only applicants who are currently located in the United States will be considered for this AI Model Analyst role at DataAnnotation.
- Can I choose my projects as an AI Model Analyst at DataAnnotation?
- Yes, a significant benefit of the AI Model Analyst role at DataAnnotation is the ability to choose which projects you want to work on, allowing you to tailor your workload based on your interests and expertise.
- What kind of mathematical skills are needed for the DataAnnotation Analyst role?