Data Analyst @ Taskify
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Job Details
Data Analyst Overview
Taskify is seeking a skilled Data Analyst to contribute to AI model development. The role involves working with datasets, applying analytical methods, and generating insights to improve AI performance.
Key Responsibilities
- Identify and source datasets for AI training and research.
- Clean, structure, and prepare data for analysis and modeling.
- Apply statistical and machine learning techniques to generate insights.
- Evaluate AI outputs and provide detailed feedback.
- Present analytical findings with actionable recommendations.
Qualifications
Bachelor’s degree or higher in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Economics, Software Engineering, or related fields; 1-2+ years of professional experience in Data Analysis or Data Science; strong knowledge of Python, R, SQL, or other data analysis tools; and experience working end-to-end with datasets.
Preferred Experience
Machine Learning project experience and exposure to applied research, forecasting, or predictive modeling.
Compensation & Benefits
- Earn up to $50 USD/hour, paid weekly via PayPal or AirTM.
- Flexible schedule: typically 5-10 hrs/week, up to 40 hrs.
- Remote-first opportunity with access to cutting-edge AI tools.
Why Join Taskify?
Collaborate with a global community of data experts on innovative projects that directly shape the future of AI while enjoying flexible project selection that matches your expertise.
Key skills/competency
- Data Analysis
- Data Science
- AI
- Machine Learning
- Python
- SQL
- Data Cleaning
- Statistical Analysis
- Reporting
- Communication
How to Get Hired at Taskify
🎯 Tips for Getting Hired
- Research Taskify's culture: Study their mission and global projects.
- Customize your resume: Highlight relevant data projects and tools.
- Showcase analytical skills: Emphasize Python, SQL, and ML techniques.
- Prepare for technical questions: Review dataset cleaning and modeling practices.
- Follow application instructions: Include detailed examples in your cover letter.