DevOps Engineer
DataAnnotation · New York, United States
- Hybrid
- Full-time
- $75,000 / year
- New York, 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
- Train AI models by evaluating chatbot outputs.
- Solve coding challenges in Python or JavaScript.
- Work remotely on flexible projects.
- Earn $50-$100+ per hour.
- Full-time or part-time independent contractor role.
About the role
DevOps Engineer - AI Model Training
DataAnnotation is seeking a motivated DevOps Engineer to join our team focused on training AI models. In this role, you will be instrumental in measuring the progress of AI chatbots, evaluating their logic, and solving complex problems to enhance the quality of each AI model.
Key Responsibilities
- Administer coding challenges to AI chatbots and meticulously evaluate their outputs.
- Assess the quality of AI model outputs for both correctness and performance.
Required Skills and Qualifications
- Proficiency in either Python and/or JavaScript is essential.
- Demonstrated ability to solve coding problems (similar to LeetCode, HackerRank) in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift).
- Ability to articulate how your coding solutions address specific problems.
- Fluency in English (native or bilingual level).
- Keen attention to detail.
- Experience with algorithms, data structures, and debugging workflows.
- A Bachelor’s degree (current, in progress, or completed) is preferred but not mandatory.
Benefits and Perks
- This is a full-time or part-time REMOTE position.
- Enjoy the flexibility to choose your projects.
- Work on your own schedule.
- Competitive hourly pay ranging from $50-$100+/hr, with additional bonuses for high-quality and high-volume work.
Important Notes
- Payment is processed via PayPal. We will never ask for payment from you. PayPal handles currency conversions from USD.
- Only applicants located within the United States will be considered.
- This is an independent contractor position.
Key skills/competency
- DevOps Engineer
- AI Model Training
- Python
- JavaScript
- Algorithms
- Data Structures
- Debugging
- Problem Solving
- Coding Challenges
- Performance Evaluation
Skills & topics
- DevOps Engineer
- AI
- Machine Learning
- Python
- JavaScript
- Algorithms
- Data Structures
- Debugging
- Remote
- Contractor
How to get hired
- Tailor your resume: Highlight your proficiency in Python/JavaScript, algorithms, data structures, and debugging. Quantify achievements where possible.
- Prepare for coding challenges: Practice LeetCode/HackerRank style problems and be ready to explain your solutions clearly.
- Showcase problem-solving skills: Emphasize your ability to evaluate AI outputs and improve model quality.
- Understand the role: Focus on how your DevOps and programming skills align with AI model training and evaluation.
Technical preparation
Master Python or JavaScript for coding problems.,Practice algorithms and data structure challenges.,Develop strong debugging workflow understanding.,Be ready to explain code solutions clearly.
Behavioral questions
Describe a complex problem you solved.,How do you ensure code quality and correctness?,How do you evaluate performance metrics?,How do you manage your work schedule independently?
Frequently asked questions
- What programming languages are essential for the DevOps Engineer role at DataAnnotation?
- For the DevOps Engineer position at DataAnnotation, proficiency in Python and/or JavaScript is required. You must also be able to solve coding problems in at least one of the following languages: JavaScript, Python, C#, C++, HTML, SQL, or Swift.
- How are DevOps Engineers compensated for the AI Model Training role at DataAnnotation?
- DevOps Engineers at DataAnnotation are compensated hourly, with rates ranging from $50 to $100+ per hour. Bonuses are also available for exceptional quality and high-volume work. Payments are made via PayPal.
- Is the DevOps Engineer position at DataAnnotation a remote or on-site opportunity?
- Yes, the DevOps Engineer position at DataAnnotation is a fully REMOTE role. You can work from anywhere within the United States.
- What are the primary responsibilities of a DevOps Engineer at DataAnnotation?
- The primary responsibilities include giving AI chatbots coding challenges, evaluating their outputs, and assessing the quality, correctness, and performance of AI models.
- What qualifications are preferred for the DevOps Engineer job at DataAnnotation?
- While not strictly required, a Bachelor’s degree (current, in progress, or completed) is preferred. Essential qualifications include English fluency, attention to detail, experience with algorithms, data structures, debugging, and strong programming skills.
- Can candidates outside the United States apply for the DevOps Engineer role at DataAnnotation?
- No, only applicants currently located within the United States will be considered for this DevOps Engineer position at DataAnnotation.
- What is the work arrangement for the DevOps Engineer role at DataAnnotation?
- The DevOps Engineer role at DataAnnotation is an independent contractor position, offered as either full-time or part-time.