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
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:
Responsibilities:
Qualifications:
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
Sourced by ZipRecruiter
Computing infrastructure providers, data processing, web hosting and data services
10,000+ Employees
New York, NY, US
senior software developer
senior application software engineer
software engineer
senior systems software engineer
lead software engineer
senior software development engineer
staff software engineer
enterprise software engineer
senior software analyst
senior software engineer net
Golang Salaries
Golang Career Research
Q: What skills or qualities help someone succeed as a Senior Software Engineer?
A: To succeed as a Senior Software Engineer, key technical skills include expertise in programming languages such as Java, Python, or C++, as well as proficiency in software development methodologies like Agile and DevOps. Additionally, strong problem-solving skills, experience with cloud platforms like AWS or Azure, and knowledge of database management systems are highly valued. Soft skills like effective communication, leadership, and collaboration, along with traits like adaptability, continuous learning, and a customer-centric mindset, are also essential for success in this role.\n\nSummary: These technical and soft skills enable Senior Software Engineers to design, develop, and deliver high-quality software solutions, lead cross-functional teams, and drive innovation, ultimately supporting career growth and effectiveness in the role.
Q: What is the career path for a Senior Software Engineer?
A: A Senior Software Engineer's typical career progression involves starting as a Junior Software Engineer, progressing to a Mid-Level Software Engineer, and then to a Senior Software Engineer, with each role requiring increased technical expertise and leadership responsibilities. Key opportunities for skill development and growth include mastering programming languages, frameworks, and technologies, as well as developing leadership, communication, and project management skills through mentorship, team lead roles, or specialized certifications. Long-term career prospects for Senior Software Engineers may include technical leadership positions, such as Technical Program Manager or Engineering Manager, or transitioning into related fields like Product Management or Data Science.