micro1 is looking for a skilled AI Trainer – Quantitative Data Scientist to join our team. As an AI Trainer, you will be instrumental in training machine learning models, fine-tuning them for specific project requirements, and ensuring their accuracy. You’ll be working with large datasets, curating and annotating data, and providing iterative feedback to optimize AI performance. If you’re passionate about data science, possess a strong analytical mindset, and are eager to influence the future of AI, we’d love to hear from you.
Key Responsibilities
- Data Analysis & Modeling: Analyze large datasets and derive predictive insights to meet diverse business needs.
- Data Curation: Curate, preprocess, and annotate datasets for AI and machine learning model training to ensure high-quality data.
- Model Training & Optimization: Use state-of-the-art tools to train and fine-tune machine learning models for improved performance.
- Iterative Feedback: Provide ongoing feedback on model outputs and work to enhance the accuracy and relevance of results.
- Collaboration: Work closely with data scientists, engineers, and other cross-functional teams to meet training objectives.
- AI Model Performance Monitoring: Continuously monitor AI model performance, making improvements based on feedback and observations.
- Ethical AI Development: Ensure that all processes related to data training adhere to ethical standards and security protocols.
Required Skills and Qualifications
- Analytical Expertise: Proven experience in statistical modeling and calculus with a high attention to detail.
- Data Science Skills: Strong background in data preparation, transformation, and annotation for machine learning models.
- Communication Skills: Excellent written and verbal communication, with the ability to clearly and effectively convey complex information.
- Independent Work: Ability to work independently in a remote setting, demonstrating a proactive approach to meeting deadlines and achieving objectives.
- Machine Learning Tools: Familiarity with AI tools and platforms used in machine learning workflows.
- Ethical Standards: A commitment to maintaining ethical standards and practices in the development of AI systems.
Preferred Qualifications
- Experience in Agile: Prior experience working in an Agile development environment is preferred.
- Educational Background: An advanced degree in a related field (e.g., Data Science, Statistics, Machine Learning) is a plus, but not required.
Benefits
- Flexible Work Environment: Work remotely from anywhere, offering you a healthy work-life balance.
- Professional Development: Access to unlimited learning resources to further your growth in AI and data science.
- Competitive Compensation: Attractive salary package aligned with your expertise and experience.
- Health and Wellness: Healthcare reimbursement and additional benefits to keep you at your best.
- Collaboration and Growth: Work in a collaborative team environment with access to cutting-edge technologies.
Application Instructions
Interested candidates should submit their CV to email address, or apply online via our website. Please ensure your CV includes relevant work experience, educational qualifications, and any certifications in AI or data science. We look forward to reviewing your application and discussing how you can contribute to shaping the future of AI.
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