At a Glance
- Tasks: Evaluate AI model responses, annotate code, and provide constructive feedback.
- Company: Join a forward-thinking tech company focused on AI and machine learning.
- Benefits: Flexible hours, competitive pay, and opportunities for skill development.
- Other info: Collaborative team environment with room for growth and innovation.
- Why this job: Make an impact in AI while honing your coding and analytical skills.
- Qualifications: Strong coding skills in Python and familiarity with ML/AI concepts.
The predicted salary is between 50000 - 70000 £ per year.
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: General concepts, model development, experimentation, training, evaluation, deep learning 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), game AI.
- Data Science & Engineering: Data analysis & manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries), database management (SQL, NoSQL, SQLite, data storage).
- Algorithms & Mathematics: General and specific algorithms like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems.
- Software Engineering Practices & Tools: Version control (Git/GitHub), coding best practices, clean code principles, software design patterns, and debugging techniques.
- Attention to Detail: Meticulous attention to detail and the ability to follow complex, multi-step instructions precisely.
- Problem-Solving: Strong analytical and problem-solving skills to evaluate and troubleshoot complex coding solutions.
- Communication: Excellent written communication skills to provide clear, concise, and actionable feedback.
- Proactiveness: Willingness to challenge the status quo to conduct a given task and achieve the end goal.
Preferred Qualifications:
- Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation.
- Familiarity with various programming paradigms (e.g., object-oriented, functional).
- Experience with code review in a professional or academic setting.
- Experience in data annotation or similar quality assurance roles.
Expert Coding Raters employer: Topcoder
As an Expert Coding Rater, you will thrive in a dynamic and innovative environment that prioritises quality and accuracy in AI model development. Our company fosters a collaborative work culture where your expertise in software engineering and machine learning will be valued, offering ample opportunities for professional growth and skill enhancement. Located in a vibrant tech hub, we provide a supportive atmosphere that encourages creativity and continuous learning, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Expert Coding Raters
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and join online forums. The more connections we make, the better our chances of landing that coding rater gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects and any relevant work. We want to see your expertise in action, so make it easy for potential employers to check out what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common coding challenges and AI concepts. We should practice explaining our thought process clearly, as communication is key in this role!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Expert Coding Raters
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming proficiency, especially in Python and any other languages you know. We want to see your expertise shine through, so don’t hold back on showcasing your coding experience!
Be Detail-Oriented:Since attention to detail is key for this role, ensure your application is free from typos and errors. We appreciate candidates who can follow complex instructions, so make your application as polished as possible.
Tailor Your Application:Customise your application to reflect the specific responsibilities and qualifications mentioned in the job description. We love seeing how your background aligns with our needs, so make it personal!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Topcoder
✨Know Your Code Inside Out
Make sure you brush up on your programming skills, especially in Python and any other languages mentioned in the job description. Be ready to discuss your past projects and how you tackled coding challenges, as this will show your expertise and problem-solving abilities.
✨Understand AI and ML Concepts
Familiarise yourself with key AI and machine learning concepts, particularly those related to model evaluation and data validation. Being able to discuss these topics confidently will demonstrate your passion for the field and your readiness to contribute to the team.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of algorithms, data structures, and coding best practices. Practise explaining your thought process clearly, as communication is key when providing feedback or collaborating with others.
✨Show Your Attention to Detail
During the interview, highlight your meticulous nature and ability to follow complex instructions. You might be asked to review code snippets or provide feedback, so showcasing your attention to detail will set you apart from other candidates.
