Data Analyst
DataAnnotation
Job Overview
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Job Description
Data Analyst at DataAnnotation
We are seeking a highly skilled Data Analyst to join our team, focusing on training AI models. In this pivotal role, you will be instrumental in measuring the progress of AI chatbots, meticulously evaluating their logical reasoning, and actively solving problems to enhance the overall quality of each model.
This position requires an expert level of mathematical reasoning. Candidates with backgrounds in related fields such as Applied Mathematics and/or Computer Science are highly encouraged to apply.
Benefits
- This is a full-time or part-time remote position, offering significant flexibility.
- You will have the autonomy to choose which projects align with your expertise and interest.
- Work on your own schedule, providing an excellent work-life balance.
- Projects are paid hourly, starting at $40+ USD per hour, with attractive bonuses for high-quality and high-volume contributions.
Responsibilities
- Design and provide AI chatbots with diverse and complex mathematics problems, subsequently evaluating their outputs for accuracy and logical coherence.
- Assess the quality produced by AI models, ensuring correctness, performance, and alignment with desired outcomes.
Qualifications
- Fluency in English at a native or bilingual level is essential.
- Demonstrated detail-oriented approach to tasks and problem-solving.
- Proficiency in core mathematical areas including arithmetic, algebra, geometry, calculus, probability, statistics, and advanced inductive/deductive reasoning.
- A current, in progress, or completed PhD is a mandatory requirement for this role.
Notes
Payment for this independent contract position is processed via PayPal. DataAnnotation will never request any money from you. PayPal will manage all necessary currency conversions from USD. Please note: only applicants currently residing in Australia will be considered for this role.
Key skills/competency
- Data Analysis
- AI Model Evaluation
- Mathematical Reasoning
- Problem Solving
- AI Training
- Statistical Analysis
- Algorithm Evaluation
- Logic Evaluation
- Quality Assurance
- Quantitative Analysis
How to Get Hired at DataAnnotation
- Research DataAnnotation's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in data analysis, AI model evaluation, and advanced mathematical reasoning, specifically for DataAnnotation.
- Showcase your PhD work: Emphasize your doctoral research, particularly any projects involving AI, machine learning, or complex mathematical problem-solving relevant to Data Analyst roles.
- Prepare for technical interviews: Practice solving complex math problems and discussing AI model evaluation methodologies, demonstrating your proficiency in arithmetic, algebra, calculus, and statistics for DataAnnotation.
- Highlight remote work suitability: Be ready to discuss your ability to work independently, manage your schedule effectively, and contribute to projects remotely, a key aspect of DataAnnotation's operational model.
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