GDM Coding - Freelance (20 to 40 hours a week)
Job Description:
Responsibilities:
* Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards.
* Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines.
* Review and Feedback: Provide detailed, constructive feedback on model and other outputs
* Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices.
* Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation.
* Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy.
Qualifications:
* Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy
* Programming Proficiency: Demonstrated expertise in:
* Python (must-have) and at least one or more common programming languages such as: JavaScript, Rust, Node.js, Typescript, C, C++, Shell
* (Bonus points) At least 1 or more less common programming languages such as: Rust, Shell, Go, Ruby, Swift, PHP, Kotlin
* Knowledge of web technologies & frameworks
* Web Scraping, API integration,
* HTML/CSS/JavaScript
* Web application development (e.g. Flask)
* Frontend (e.g. React) and backend (e.g. Node.js) development
* Machine Learning & Artificial Intelligence
* Machine Learning (General concepts, model development, experimentation, training, evaluation)
* Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM)
* Natural Language Processing (NLP)
* Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero)
* Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection)