Quality Assurance Engineer - AI Trainer
DataAnnotation · Florida, United States
- Hybrid
- Full-time
- $75,000 / year
- Florida, United States
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Job highlights
- Train AI models by evaluating chatbot logic and outputs.
- Solve coding problems using Python or JavaScript proficiency.
- Flexible work schedule and location, paid hourly.
- Earn $50-$100+/hr with performance-based bonuses.
- Contribute to improving AI model quality.
About the role
About The Job
We are looking for an existing Quality Assurance Engineer to help 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.
In this role, you will need to be proficient in either Python and/or JavaScript. Your role will require proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) in order to solve coding problems. For each coding problem, you must be able to explain how your solution solves the problem.
Advantages Of Contracting With Us
- You'll be able to choose which projects you want to work on and when
- You work on your own schedule, on your own computer, from the comfort of your own home
- Projects are paid hourly starting at $50-$100+/hr, with bonuses for high-quality and high-volume work
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
- Experience with algorithms, data structures, and debugging workflows
- A current, in progress, or completed Bachelor's degree is preferred but not required
Key skills/competency
- AI Training
- Quality Assurance
- Python
- JavaScript
- Problem Solving
- Algorithms
- Data Structures
- Debugging
- Chatbot Evaluation
- Coding Challenges
Skills & topics
- Quality Assurance
- AI Trainer
- Python
- JavaScript
- Coding
- Chatbot
- Model Evaluation
- Data Annotation
- Remote
- Contractor
How to get hired
- Customize your resume: Highlight your programming skills (Python, JavaScript) and QA experience.
- Showcase problem-solving: Detail how you've improved systems or debugged complex issues.
- Emphasize AI interest: Mention any experience or passion for AI model development.
- Prepare for coding challenges: Practice algorithms, data structures, and explaining solutions.
- Highlight attention to detail: Provide examples of your meticulousness in previous roles.
Technical preparation
Practice Python and JavaScript coding challenges.,Review algorithms and data structures.,Prepare to explain coding solutions clearly.,Familiarize yourself with debugging techniques.
Behavioral questions
Describe a time you found a critical bug.,How do you ensure thoroughness in your work?,Explain a complex problem and your solution.,How do you manage your work independently?
Frequently asked questions
- What programming languages are essential for the AI Trainer Quality Assurance Engineer role at DataAnnotation?
- For the AI Trainer Quality Assurance Engineer position at DataAnnotation, proficiency in Python and/or JavaScript is required. You'll also need expertise in at least one of the following: JavaScript, Python, C#, C++, HTML, SQL, or Swift, to effectively solve coding problems and explain your solutions.
- What are the earning potential and payment structure for a Quality Assurance Engineer at DataAnnotation?
- Quality Assurance Engineers at DataAnnotation can earn between $50-$100+ per hour, with additional bonuses for high-quality and high-volume work. Payments are processed via PayPal.
- Is the AI Trainer Quality Assurance Engineer position at DataAnnotation remote or on-site?
- The AI Trainer Quality Assurance Engineer position at DataAnnotation is a remote, independent contractor role. You can work on your own schedule, from your own computer, from the comfort of your home.
- What qualifications are preferred for the AI Trainer Quality Assurance Engineer job at DataAnnotation?
- While not strictly required, a Bachelor's degree (current, in progress, or completed) is preferred for the AI Trainer Quality Assurance Engineer role. Strong fluency in English, a detail-oriented approach, and experience with algorithms, data structures, and debugging workflows are also important.
- Does DataAnnotation consider international applicants for the Quality Assurance Engineer role?
- No, DataAnnotation only considers applicants who are currently in the United States for this Quality Assurance Engineer role. Payment is handled via PayPal, which will manage any currency conversions from USD.
- How does DataAnnotation ensure the quality of AI models through its QA Engineers?
- Quality Assurance Engineers at DataAnnotation play a crucial role by giving AI chatbots coding challenges, evaluating their outputs, and assessing the correctness and performance of the AI models' quality.