About DataAnnotation
Sourced by ZipRecruiter
Industry
Computing infrastructure providers, data processing, web hosting and data services
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Job description
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.
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 $50-75+/hr, with bonuses on 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 is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
#coder
dataannotation.tech
Frequently asked questions
Q: What skills or qualities help someone succeed as a Back End Engineer?
A: To succeed as a Back End Engineer, key technical skills include proficiency in programming languages such as Java, Python, or C++, as well as expertise in frameworks like Spring, Django, or Node.js. Additionally, strong knowledge of databases, data structures, and algorithms is essential. Soft skills like effective communication, problem-solving, and collaboration are also crucial, as Back End Engineers often work with cross-functional teams to design, develop, and deploy scalable and efficient systems.\n\nThese technical and soft skills enable Back End Engineers to design, develop, and maintain robust and scalable systems, collaborate effectively with teams, and communicate complex technical ideas to stakeholders, ultimately supporting career growth and effectiveness in the role.
Q: What is the career path for a Back End Engineer?
A: A Back End Engineer's typical career progression involves starting as a Junior Back End Developer, where they focus on building and maintaining server-side logic, APIs, and database integration. As they gain experience, they can move into mid-level roles such as a Back End Engineer or a Technical Lead, where they oversee the development of complex systems, mentor junior engineers, and contribute to technical decision-making. Senior Back End Engineers or Technical Architects can then take on leadership positions, overseeing large-scale projects, architecting systems, and driving technical strategy, with opportunities to transition into roles like Engineering Manager or Product Manager.
