- Employment type: Full Time
- Experience: Intern
- Salary: ₹4,000 – ₹12,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM IST
- Working Days: 5 Days
- Education: Any Degree
Key Responsibilities:
• Data Collection and Preparation: Collect, clean, and organize raw data into structured datasets suitable for training machine learning models.
• Data Annotation: Label, categorize, and annotate datasets according to project specifications.
• Quality Assurance: Review and ensure the quality and accuracy of data, including identifying inconsistencies or errors.
Collaboration: Work closely with data scientists, AI engineers, and other team members to support data-related tasks and improve the training datasets.
• Research and Implementation: Stay up-to-date with the latest trends and techniques in AI/ML data preparation, incorporating new methodologies to improve processes.
• Documentation: Maintain accurate and detailed records of data preparation processes and progress.
• Feedback and Reporting: Provide feedback on data quality, trends, and potential areas for improvement.
Required Skills and Qualifications:
• Education: Bachelors degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
• Familiarity with AI/ML Concepts: Basic understanding of artificial intelligence, machine learning, and data science.
• Attention to Detail: Strong focus on data accuracy, precision, and consistency.
• Technical Skills: Proficiency with spreadsheets (Excel/Google Sheets) and data processing tools.
• Communication Skills: Strong written and verbal communication skills to document processes and work with cross-functional teams.
• Problem-Solving Abilities: Ability to identify challenges in data and propose efficient solutions.
• Tech-Savvy: Willingness to learn and adapt to new tools and technologies relevant to AI/ML projects.
Experience:
• Entry-level position ideal for recent graduates or individuals with a passion for AI/ML.
• Previous experience in data annotation, data entry, or any technical support role is a plus but not mandatory.
Working Hours:
• Full-time (40 hours per week).
• Flexible working hours to accommodate global team collaboration.
• Remote work opportunity with potential for occasional team meetings via video calls.
• Knowledge, Skills, and Abilities:
• Knowledge of Data Preparation: Basic understanding of data cleaning, normalization, and preprocessing for machine learning models.
• Analytical Skills: Ability to analyze and manipulate datasets to extract meaningful insights.
• Familiarity with AI Tools: Exposure to basic AI tools and platforms such as TensorFlow, PyTorch, or similar technologies is beneficial.
• Adaptability: Willingness to learn and grow within the dynamic field of AI/ML.
• Team Collaboration: Ability to work effectively in a remote, collaborative environment.
• Benefits:
• Competitive Salary: Competitive pay based on experience and skill level.
• Learning and Development: Access to training resources, mentorship, and opportunities to grow within the AI/ML field.
• Remote Work Flexibility: Work from the comfort of your home with flexible hours.
• Health and Wellness Benefits: Comprehensive health insurance and wellness programs.
• Career Growth: Opportunity for advancement in a rapidly growing industry.
• Team Collaboration: Work alongside highly skilled professionals in a supportive, remote work environment.
