Remotasks Hiring As Software Engineer, Work from Home Jobs in India | 4-6 LPA*
Remotasks is a pioneering platform in the world of remote work and artificial intelligence. Founded with the
vision of harnessing the power of human intelligence to train machine learning models, Remotasks has emerged as a
leader in the field of data annotation and image labeling. This platform connects a diverse global workforce of
remote workers with organizations seeking to improve and fine-tune their AI algorithms.
The core responsibility of Remotasks’ workforce is to perform tasks that are challenging for machines but
relatively simple for humans, such as labeling objects in images, transcribing audio, or verifying data accuracy.
By completing these tasks, remote workers play a vital role in training AI systems across various industries,
including autonomous vehicles, natural language processing, and computer vision.
Remotasks not only provides flexible employment opportunities to individuals around the world but also contributes
to the advancement of artificial intelligence technologies. It enables companies to enhance the accuracy and
reliability of their AI models, which, in turn, fuels progress in fields like autonomous driving, virtual
assistants, and medical image analysis
| Eligibility Criteria | ||
|---|---|---|
| Job Role | Software Engineer – AI Training | |
| Qualification | Bachelor’s degree in Computer Science | |
| Experience | Freshers | |
| Location | Remote | |
| Salary | 3-4 LPA | |
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REMOTASKS CAREERS, WORK FROM HOME – ROLES & RESPONSIBILITIES FOR SOFTWARE ENGINEER – AI TRAINING :
- Data Preparation: Collect, clean, preprocess, and curate large datasets for training AI models. This includes data cleaning, normalization, and augmentation.
- Algorithm Development: Develop, implement, and optimize machine learning algorithms and neural networks for various AI applications, such as image recognition, natural language processing, or recommendation systems.
- Hyperparameter Tuning: Fine-tune model hyperparameters, such as learning rates and batch sizes, to optimize model performance.
- Data Labeling: Collaborate with data annotators to ensure high-quality labeled data for supervised learning tasks.
- Model Training: Train machine learning and deep learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. Experiment with different architectures and hyperparameters to improve model accuracy and efficiency.
- Transfer Learning: Implement transfer learning techniques to leverage pre-trained models and adapt them to specific tasks, saving time and resources.
- Model Evaluation: Design and execute experiments to evaluate model performance, employing metrics like accuracy, precision, recall, F1-score, or custom evaluation criteria.
Remotasks Careers, Work from Home – Skills Required for Software Engineer – AI Training
- Programming Languages: Proficiency in programming languages commonly used in AI and machine learning, such as Python and libraries like NumPy, TensorFlow, PyTorch, and scikit-learn.
- Data Preprocessing: Strong skills in data cleaning, feature engineering, data augmentation, and data normalization to prepare datasets for training.
- Machine Learning Algorithms: A deep understanding of various machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and their practical applications.
- Neural Networks: Familiarity with neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, along with experience in building and fine-tuning these networks.
- Data Labeling and Annotation: Knowledge of data labeling and annotation processes, including the ability to work with data annotators to ensure high-quality labeled datasets.
- Hyperparameter Tuning: Expertise in optimizing hyperparameters and selecting appropriate optimization algorithms to enhance model performance.