Cloud Platform Engineer
DataAnnotation · North Carolina, United States
- Hybrid
- Full-time
- $100,000 / year
- North Carolina, United States
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Job highlights
- Train and evaluate AI models using coding challenges.
- Assess AI chatbot logic and performance.
- Requires Python or JavaScript proficiency.
- Flexible remote work with hourly pay.
- Independent contractor role for US applicants.
About the role
About the Role
We are looking for a Cloud Platform Engineer to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
Responsibilities
- Give AI chatbots coding challenges and evaluate their outputs.
- Evaluate the quality produced by AI models for correctness and performance.
Qualifications
- Proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) to solve coding problems (e.g., LeetCode, HackerRank).
- Ability to explain how your code solutions solve given problems.
- Fluency in English (native or bilingual level).
- Detail-oriented.
- Experience with algorithms, data structures, and debugging workflows.
- A current, in progress, or completed Bachelor's degree is preferred but not required.
Benefits
- Full-time or part-time REMOTE position.
- Choose which projects you want to work on.
- Work on your own schedule.
- Hourly pay starting at $50-$100+/hr, with bonuses for high-quality and high-volume work.
Notes
- Payment is made via PayPal.
- 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 Models
- Python
- JavaScript
- Coding Challenges
- Algorithms
- Data Structures
- Debugging
- Problem Solving
- English Fluency
Skills & topics
- Cloud Platform Engineer
- AI Training
- Python
- JavaScript
- Coding Challenges
- Algorithms
- Data Structures
- Debugging
- Remote Work
- Independent Contractor
- US Jobs
- Tech
How to get hired
- Tailor your resume: Highlight proficiency in Python/JavaScript, algorithms, data structures, and debugging.
- Showcase problem-solving: Prepare to explain your coding solutions clearly.
- Emphasize details: Mention your detail-oriented approach and English fluency.
- Apply strategically: Ensure your application clearly states your US residency and interest in contract work.
Technical preparation
Master Python or JavaScript fundamentals.,Practice algorithms and data structures.,Refine debugging skills for complex issues.,Prepare to explain code solutions verbally.
Behavioral questions
Describe a complex problem you solved.,How do you ensure quality in your work?,How do you manage your time effectively?,How do you approach learning new technologies?
Frequently asked questions
- What programming languages are essential for the Cloud Platform Engineer role at DataAnnotation?
- For the Cloud Platform Engineer position at DataAnnotation, proficiency in either Python and/or JavaScript is required. You'll also need expertise in at least one other programming language like C#, C++, HTML, SQL, or Swift to tackle coding challenges.
- How is compensation handled for the Cloud Platform Engineer role at DataAnnotation?
- Cloud Platform Engineers at DataAnnotation are paid hourly, with rates ranging from $50 to $100+ per hour. Bonuses are also offered for high-quality and high-volume work. Payments are processed via PayPal.
- Is the Cloud Platform Engineer position at DataAnnotation remote?
- Yes, the Cloud Platform Engineer role at DataAnnotation is a fully remote position. You can work on your own schedule and choose the projects that interest you.
- What are the key responsibilities of a Cloud Platform Engineer at DataAnnotation?
- As a Cloud Platform Engineer at DataAnnotation, your main responsibilities include giving AI chatbots coding challenges, evaluating their outputs, and assessing the correctness and performance of AI models.
- What qualifications are preferred for the Cloud Platform Engineer role at DataAnnotation?
- While not strictly required, DataAnnotation prefers candidates for the Cloud Platform Engineer role to have a current, in-progress, or completed Bachelor's degree. Strong English fluency, detail-orientation, and experience with algorithms, data structures, and debugging workflows are also key qualifications.
- Does DataAnnotation hire internationally for the Cloud Platform Engineer role?
- No, DataAnnotation only considers applicants who are currently in the United States for the Cloud Platform Engineer position.
- What kind of work is involved in training AI models at DataAnnotation?
- Training AI models at DataAnnotation involves measuring AI chatbot progress, evaluating their logic, and solving problems to enhance model quality. This includes giving them coding challenges and assessing their outputs and performance.