Cloud Platform Engineer
DataAnnotation · Pennsylvania, United States
- Hybrid
- Full-time
- $100,000 / year
- Pennsylvania, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Evaluate AI chatbot progress and quality.
- Solve coding problems in Python or JavaScript.
- Choose projects and set your own schedule.
- Earn $50-$100+ per hour plus bonuses.
- Fully remote US-based independent contract role.
About the role
Cloud Platform Engineer - AI Model Training
DataAnnotation is seeking a Cloud Platform Engineer to join our team focused on training AI models. In this role, you will be responsible for measuring the progress of AI chatbots, evaluating their logic, and solving problems to enhance the quality of each model. This is a unique opportunity to contribute to the advancement of AI through hands-on evaluation and problem-solving.
Responsibilities
- Give AI chatbots coding challenges and evaluate their outputs.
- Evaluate the quality produced by AI models for correctness and performance.
Qualifications
- Fluency in English (native or bilingual level).
- Detail-oriented with strong analytical skills.
- Experience with algorithms, data structures, and debugging workflows.
- Proficiency in Python and/or JavaScript is required.
- Proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) to solve coding problems (similar to LeetCode, HackerRank).
- Ability to explain how your code solutions address specific problems.
- A current, in progress, or completed Bachelor's degree is preferred but not required.
Benefits
- This is a full-time or part-time REMOTE position.
- You’ll be able to choose which projects you want to work on.
- You can work on your own schedule.
- Projects are paid hourly starting at $50-$100+/hr, with bonuses for high-quality and high-volume work.
Notes
- Payment is made via PayPal. We will never ask for any money from you.
- PayPal will handle any currency conversions from USD.
- Only applicants in the United States will be considered for this role.
- This is an independent contract position.
Key skills/competency
- Cloud Platform Engineer
- AI Model Training
- Python
- JavaScript
- Algorithms
- Data Structures
- Debugging
- Problem Solving
- AI Chatbots
- Quality Evaluation
Skills & topics
- Cloud Platform Engineer
- AI Model Training
- Python
- JavaScript
- Algorithms
- Data Structures
- Debugging
- Problem Solving
- Remote Work
- Independent Contractor
- US Jobs
How to get hired
- Tailor your resume: Highlight your Python/JavaScript proficiency, algorithm knowledge, and problem-solving skills relevant to AI model evaluation.
- Showcase coding skills: Be prepared to demonstrate your ability to solve coding challenges and clearly explain your solutions.
- Emphasize detail-orientation: Detail your experience with debugging and evaluating complex systems like AI models.
- Highlight remote work experience: If applicable, mention your ability to work independently and manage your schedule effectively in a remote setting.
- Understand the contract nature: Be aware this is an independent contractor role and confirm your understanding of payment via PayPal.
Technical preparation
Master Python or JavaScript problem-solving.,Review core data structures and algorithms.,Practice explaining your coding solutions clearly.,Familiarize yourself with debugging techniques.
Behavioral questions
Describe a complex problem you solved.,How do you ensure attention to detail?,How do you manage your work schedule independently?,Explain a time you evaluated quality critically.
Frequently asked questions
- What programming languages are essential for the Cloud Platform Engineer role at DataAnnotation?
- Proficiency in Python and/or JavaScript is a requirement for the Cloud Platform Engineer position at DataAnnotation. You will also need proficiency in at least one other programming language such as C#, C++, HTML, SQL, or Swift to solve coding challenges.
- What are the typical work hours and schedule flexibility for a Cloud Platform Engineer at DataAnnotation?
- This Cloud Platform Engineer position offers significant schedule flexibility. You can work on your own schedule and choose which projects you want to work on, making it suitable for both full-time and part-time arrangements.
- How is payment handled for the Cloud Platform Engineer role at DataAnnotation?
- Payment for the Cloud Platform Engineer role is handled via PayPal. The role offers hourly pay ranging from $50-$100+, with potential bonuses for high-quality and high-volume work. PayPal will manage any currency conversions from USD.
- Does DataAnnotation require specific educational qualifications for the Cloud Platform Engineer position?
- While a current, in-progress, or completed Bachelor's degree is preferred for the Cloud Platform Engineer role, it is not strictly required. Strong practical skills in programming, algorithms, and data structures are highly valued.
- What specific tasks will a Cloud Platform Engineer perform at DataAnnotation?
- As a Cloud Platform Engineer at DataAnnotation, you will be tasked with giving AI chatbots coding challenges, evaluating their outputs, and assessing the correctness and performance quality of AI models.
- Is the Cloud Platform Engineer position at DataAnnotation remote or on-site?
- The Cloud Platform Engineer position at DataAnnotation is a fully remote role. This means you can work from any location within the United States.
- What are the key technical skills needed for the Cloud Platform Engineer role?
- Key technical skills include proficiency in Python and/or JavaScript, a strong understanding of algorithms and data structures, experience with debugging workflows, and the ability to solve and explain coding problems.
- Are there opportunities for bonuses in this Cloud Platform Engineer role?
- Yes, DataAnnotation offers bonuses for Cloud Platform Engineers who demonstrate high-quality and high-volume work, in addition to the competitive hourly pay.