Data Analyst (PhD)
DataAnnotation · Michigan, United States
- Hybrid
- Full-time
- $100,000 / year
- Michigan, United States
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Job highlights
- Analyze and improve AI chatbot logic.
- Evaluate AI model outputs for correctness.
- Requires PhD in math or related fields.
- Fully remote, flexible schedule options.
- Paid hourly $40+ USD, with bonuses.
About the role
Data Analyst (PhD)
DataAnnotation is seeking a Data Analyst with a PhD to join our remote team. In this role, you will be instrumental in training AI models by measuring progress, evaluating logic, and solving problems to enhance model quality. A strong background in mathematical reasoning, applied mathematics, and/or computer science is essential.
Responsibilities
- Evaluate the quality and correctness of AI model outputs for diverse and complex mathematics problems.
- Assess AI model performance and correctness, identifying areas for improvement.
- Contribute to the development and refinement of AI chatbot logic and problem-solving capabilities.
Qualifications
- A current, in progress, or completed PhD is required.
- Expert-level mathematical reasoning skills, including arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning.
- Fluency in English (native or bilingual level).
- Detail-oriented with a strong ability to identify and solve complex problems.
Benefits
- Full-time or part-time REMOTE position.
- Flexibility to choose projects that align with your interests.
- Work on your own schedule.
- Competitive hourly pay starting at $40+ USD per hour, with bonuses for high-quality and high-volume work.
- Payment via PayPal.
Key skills/competency
- Data Analysis
- AI Model Training
- Mathematical Reasoning
- Problem Solving
- Quality Evaluation
- Performance Assessment
- PhD Level Expertise
- Applied Mathematics
- Computer Science
- English Fluency
Skills & topics
- Data Analyst
- PhD
- AI Training
- Mathematical Reasoning
- Problem Solving
- Quality Evaluation
- Remote
- Applied Mathematics
- Computer Science
- Statistics
How to get hired
- Tailor your resume: Highlight your PhD, mathematical reasoning, and AI evaluation experience.
- Emphasize relevant skills: Showcase proficiency in algebra, calculus, statistics, and problem-solving.
- Address requirements directly: Clearly state your English fluency and detail-oriented nature.
- Highlight remote work experience: If applicable, mention your ability to work independently and manage your schedule.
- Prepare for technical questions: Be ready to discuss complex mathematical problems and AI model assessment.
Technical preparation
Brush up on calculus, probability, and statistics.,Practice complex algebra and geometry problems.,Review inductive and deductive reasoning techniques.,Understand AI model evaluation metrics.
Behavioral questions
Describe a complex problem you solved.,How do you ensure attention to detail?,How do you manage your own schedule?,Explain a challenging math concept clearly.
Frequently asked questions
- What are the core responsibilities of a Data Analyst (PhD) at DataAnnotation?
- As a Data Analyst with a PhD at DataAnnotation, your primary responsibilities involve training AI models. This includes giving AI chatbots complex math problems, evaluating their outputs for correctness and performance, and solving issues to improve model quality. Your expertise in mathematical reasoning is key to this role.
- What qualifications are essential for the Data Analyst (PhD) role at DataAnnotation?
- The essential qualification for this role is a current, in progress, or completed PhD. You also need expert-level mathematical reasoning skills, encompassing areas like algebra, calculus, statistics, and inductive/deductive reasoning. Native or bilingual fluency in English is also required.
- Is the Data Analyst (PhD) position at DataAnnotation remote?
- Yes, the Data Analyst (PhD) position at DataAnnotation is a fully remote role. You can choose to work either full-time or part-time, offering flexibility in how you structure your work.
- What is the compensation for a Data Analyst (PhD) at DataAnnotation?
- The Data Analyst (PhD) role offers competitive hourly pay starting at $40+ USD per hour. Additionally, there are opportunities for bonuses based on high-quality and high-volume work.
- Does DataAnnotation consider international applicants for the Data Analyst (PhD) role?
- No, DataAnnotation is only considering applicants who are currently located within the United States for this Data Analyst (PhD) position.
- How is payment processed for the Data Analyst (PhD) role at DataAnnotation?
- Payment for the Data Analyst (PhD) role is processed via PayPal. DataAnnotation will handle any necessary currency conversions from USD, and you will never be asked to pay any money to the company.
- What kind of mathematical expertise is needed for the Data Analyst (PhD) position?
- The Data Analyst (PhD) position requires expert-level mathematical reasoning. This includes proficiency in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning.
- Can I choose the projects I work on as a Data Analyst (PhD) at DataAnnotation?
- Yes, a significant benefit of this Data Analyst (PhD) role is the flexibility to choose which projects you want to work on. This allows you to focus on areas that best align with your expertise and interests.